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fraud risk data scientist Jobs in San Francisco

fraud risk data scientist

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head of data engineering

senior data scientist

Rippling

<div><h2 class="jobSectionHeader"><b>About Rippling</b></h2><p>
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.</p><p></p><p><br>
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365&mdash;all within 90 seconds.</p><p></p><p><br>
Based in San Francisco, CA, Rippling has raised $1.4B+ from the world&rsquo;s top investors&mdash;including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock&mdash;and was named one of America's best startup employers by Forbes.</p><p></p><p><br>
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.</p><h2 class="jobSectionHeader"><b><br>
About the role</b></h2><p>
As a Fraud Risk Data Scientist in the Fraud Risk team at Rippling, you will play a key role in using advanced analytics and data-driven insights to identify, assess, and mitigate fraud risks across our financial products. The primary focus of this role is to develop robust data driven risk strategies that enhance fraud detection and prevention capabilities across various product lines, such as Payroll, Bill Pay, and Card Transactions. Risk machine learning model experience is a plus. Your responsibilities will include:</p><h2 class="jobSectionHeader"><b>
What you will do</b></h2><ul><li>
Develop data-driven fraud detection strategies: Use advanced analytics to design and enhance fraud detection strategies that address risk in real-time across multiple financial products, including transaction monitoring, onboarding, and account takeover (ATO) detection.</li><li>
Analyze fraud patterns and risk trends: Perform deep analysis on transactional data to identify fraud patterns, emerging threats, and vulnerabilities, and translate these findings into actionable risk mitigation strategies.</li><li>
Collaborate across teams: Work closely with Fraud Risk Strategy, Security, Product, and Engineering teams to align fraud prevention initiatives with business goals, ensuring analytics-driven decisions are integrated into product development and operational workflows.</li><li>
Conduct comprehensive cost-benefit analyses: Evaluate the trade-offs between fraud risk reduction, customer experience, and operational efficiency to develop optimal fraud prevention strategies.</li><li>
Enhance ATO detection through data analysis: Use data analytics to identify suspicious behaviors and enhance ATO detection, working closely with the security team to define rules, analyze data, and measure effectiveness.</li><li>
Monitor and refine risk strategies: Continuously assess and improve fraud detection strategies based on new data insights, fraud trends, and ongoing performance evaluations to stay ahead of emerging fraud tactics.</li><li>
Collaborate across teams, including Security, Sales, Customer Service, and Compliance, to enhance fraud monitoring and response capabilities.</li><li>
Partner with R&amp;D to design, build, and maintain tools for fraud detection and investigation, ensuring they meet evolving business needs.</li></ul><h2 class="jobSectionHeader"><b>
What you will need</b></h2><ul><li>
1+ year of experience in data science and analytics: Demonstrated experience in using analytics and data science techniques to solve fraud-related challenges, particularly in financial technology, payments, or SaaS industries.</li><li>
Expertise in data analysis: Proficient in extracting insights from large datasets, with hands-on experience using tools such as Python, R, SQL, and other data analysis platforms to create robust fraud detection strategies.</li><li>
Data-driven approach to decision-making: Experience in developing data-driven strategies that address fraud risks while balancing the impact on customer experience and operational efficiency.</li><li>
Effective cross-functional collaboration: Proven ability to collaborate with product, risk, security, and engineering teams to drive fraud risk initiatives.</li><li>
Educational background: Bachelor's degree in a relevant field such as Data Science, Mathematics, Statistics, or Operations Research. A Master&rsquo;s degree is preferred.</li></ul><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li>
Experience with machine learning models: Familiarity with building and deploying machine learning models for fraud detection.</li><li>
Experience in SaaS or FinTech environments: Prior experience working in a fast-paced, tech-driven environment with a focus on financial services or SaaS is beneficial.</li></ul><h2 class="jobSectionHeader"><b>
Additional Information</b></h2><p>
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accomodations@rippling.com</p><p></p><p><br>
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.</p><p></p><p><br>
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location<b> </b><b>here</b><b>.</b></p><p></p><p><br>
A variety of factors are considered when determining someone&rsquo;s compensation&ndash;including a candidate&rsquo;s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.</p><p></p><b><br>
The pay range for this role is:</b><br>
124,000 - 155,000 USD per year(US Tier 1)</div>

Fraud Risk Data Scientist

Aurora Innovation

<div><div><p><b>Who we are</b></p>
<div>
Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.</div><div><br>
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.</div><br>
<div></div>
<div>
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.</div></div><div></div><p><br>
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. On the Risk &amp; Safety Data Science sub-team of Aurora Data Solutions (ADS), you'll join a world-class group of data scientists, analysts, and engineers whose mission is to generate insights and intelligence that will help us safely and broadly commercialize autonomous vehicle technology. We leverage vast amounts of on-road and simulated data to accelerate the development of the Aurora Driver, identifying key drivers of risk and informing critical decisions about our safety case. This is an opportunity to work at the intersection of cutting-edge data science and hardware/software development. As part of a consolidated data team, you will collaborate with diverse stakeholders across engineering, operations, and product, all while championing data best practices to accelerate our &quot;data to insights&quot; process. If you thrive on complex, cross-functional projects and are passionate about using data to solve the most challenging problems in transportation, joining Aurora Data Solutions is the perfect opportunity.</p>
<p>
As the Senior Manager of Data Science for the Risk &amp; Safety sub-team, you will be a strategic leader, people manager, and technical visionary. You will be responsible for defining the team's roadmap, ensuring our work is directly aligned with the company's safety and commercialization goals. You'll lead a team of high-performing data scientists and analysts, fostering a culture of technical excellence, collaboration, and impact.</p>
<p><b>
In this role, you will</b></p>
<ul>
<li>Define and execute the data science strategy for the Risk &amp; Safety sub-team, ensuring alignment with the broader Aurora Data Solutions charter and company objectives.</li>
<li>Lead, mentor, and grow a team of data scientists and analysts, helping them develop their skills, define career paths, and deliver high-impact work.</li>
<li>Serve as a primary liaison with key stakeholders across the Safety, Hardware, and Software engineering organizations to identify needs and prioritize data science initiatives.</li>
<li>Oversee the development of core safety models, metrics, and analyses, ensuring technical rigor and relevance to our safety case and product development.</li>
<li>Manage the team's project portfolio, balancing immediate business needs with long-term strategic investments.</li>
<li>Act as a leader in the broader Aurora Data Solutions team, championing data governance, tooling strategy, and analytics best practices.</li>
<li>Communicate the team's mission and successes to senior leadership, demonstrating the value of data science in achieving our safety and commercialization goals.</li>
</ul>
<p><b>Required Qualifications</b></p>
<ul>
<li>A minimum of 10+ years of experience in data science, analytics, or a related field, with at least 5 years in a leadership or management role.</li>
<li>Demonstrated success in building, leading, and managing high-performing data science teams.</li>
<li>Proven ability to develop and execute a data strategy that delivers measurable business impact.</li>
<li>Deep technical understanding of statistical analysis, machine learning, and data modeling, and a track record of applying these skills to complex, real-world problems.</li>
<li>Exceptional communication and interpersonal skills, with the ability to influence and build strong relationships with cross-functional partners and senior leadership.</li>
</ul>
<p><b>Desirable Qualifications</b></p>
<ul>
<li>Deep domain expertise in the autonomous vehicle industry, with a focus on safety standards, regulatory frameworks, and OEM partnerships.</li>
<li>Proven track record of building and managing data teams that directly support safety-critical product development and regulatory compliance.</li>
<li>Strong understanding of safety engineering principles (e.g., risk assessment, hazard analysis) and experience applying data science to validate safety claims and improve system reliability.</li>
<li>Advanced degree (MS or PhD) in Statistics, Computer Science, Operations Research, Economics, or a related quantitative field</li>
<li>Experience working with data transformation tools such as DBT</li>
<li>Experience working on ETL pipelines and leveraging big data engines</li>
<li>Experience using Amazon Web Services (AWS) tools</li>
<li>Experience in the Autonomous Vehicle, Robotics, or Advanced Transportation spaces</li>
</ul>
<p>The base salary wage range for this position is $212,000-$340,000 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.</p>
<p>
#LI-SP1</p>
<p>
#Mid-Senior</p><div><p><b>
Working at Aurora</b><br>
<br>
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together &mdash; all without any jerks. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.</p>
<p><b>
Commitment to inclusion</b></p>
<p>
Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.</p>
<p>
For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora's California Employment Privacy Policy.</p></div></div>

Senior Manager, Risk & Safety Data Science

Atlassian

<div>Overview:
<p><b>
Working at Atlassian</b></p><p>
Atlassians can choose where they work &ndash; whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.</p>
Responsibilities:
<p>
Data is a big deal at Atlassian. We ingest billions of events each month into our analytical platforms and have dozens of teams across the company that depend on data platforms to drive their decisions.</p><p>
Atlassian is looking for an Engineering Leader to join the Data Engineering team and build data products that power product strategy and important decisions across the organization . We are looking for a leader passionate about building systems at scale. You will lead a world-class data engineering practice, shape up technical strategy and data architecture, and develop data products to enable reporting, analytics, data science, machine learning, and AI workloads.</p><p>
As the data domain specialist, you will partner with IT, data platform, product engineering, analytics teams and data scientists to support multiple programs. This is a remote position and will report to the Head of Engineering.</p>
Qualifications:
<p>
On your first day, we'll expect you to have:</p><ul><li><p>
15+ years of experience in building and scaling data teams with a focus on data strategy, infrastructure planning, architecture, and data products</p></li><li><p>
10+ years of experience leading data engineering teams, experience managing managers of managers, and experience scaling organizations with over 20+ engineers across geographies</p></li><li><p>
10+ Years of experience delivering data and analytics solutions for product teams</p></li><li><p>
Product sense with an understanding of product drivers and of how to guide value using data across the organization</p></li><li><p>
Demonstrated experience developing influential relationships and trust with senior leaders across different departments</p></li><li><p>
Prior experience partnering with Analytics , Data Science, Engineering and Product Management teams</p></li><li><p>
Experience building Microservices and RESTful APIs</p></li><li><p>
Experience implementing DevOps best practices within the data platform, including solutions for CI/CD, data observability, monitoring, and lineage</p></li><li><p>
Experience with BI tools like Tableau, Amplitude, and Redash</p></li><li><p>
A graduate degree in Computer Science or a similar subject area</p></li></ul><p>
It's great but not required if you have:</p><ul><li><p>
Experience working for SAAS companies</p></li><li><p>
Experience with Machine Learning</p></li><li><p>
Committed code to open source projects</p></li></ul><p><b>
Compensation</b></p><p>
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:</p><p>
Zone A: $234,000 - $305,500</p><p>
Zone B: $210,600 - $274,950</p><p>
Zone C: $194,400 - $253,800</p><p>
This role may also be eligible for benefits, bonuses, commissions, and equity.</p><p>
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.</p><p></p><p><b>
Benefits &amp; Perks</b></p><p>
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit <b>go.atlassian.com/perksandbenefits</b><b>.</b></p><p><b>
About Atlassian</b></p><p>
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.</p><p>
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.</p><p>
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.</p><p>
To learn more about our culture and hiring process, visit <b>go.atlassian.com/crh</b><b>.</b></p></div>

Head of Data Engineering

Genentech

<div><div><div>THE POSITION</div><p><b>
Principal Data Science/AI Product Manager (Predictive AI/ Agentic AI)</b></p><p></p><p><b>
Why Genentech</b></p><p>
We&rsquo;re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world&rsquo;s most complex health challenges and transforming society.</p><p></p><p><b>
Who We Are</b></p><p>
Our Data, Analytics, and AI team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Analytics, and AI empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.</p><p>
Data, Analytics, and AI team members foster a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG&rsquo;s evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.</p><p>
In Data, Analytics, and AI, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.</p><p></p><p><b>
Job Summary</b></p><p>
The Principal Data Science/AI Product Manager (Predictive AI/ Agentic AI) at Genentech is responsible for driving the development and execution of cutting-edge generative AI (GenAI) and agentic AI product features that empower Genentech&rsquo;s customer engagement strategies and deliver transformative business impact. This role is central to advancing Genentech&rsquo;s digital transformation by integrating GenAI and agentic AI into key platforms, enabling proactive, intelligent decision-making and hyper-personalized customer experiences across Commercial, Medical, and Government Affairs (CMG). In close collaboration with cross-functional teams, including data science, engineering, IT, and product leaders, the Principal Product Manager will shape the product vision and roadmap for GenAI and agentic AI capabilities. They will translate user feedback and market trends into innovative AI-driven features that support smarter decision-making and automation. This role also involves building strong business cases for new AI investments, ensuring that solutions meet user needs and deliver measurable, scalable impact.</p><p>
With a focus on user-centric design, ethical AI principles, and strategic foresight, the Principal Product Manager ensures that GenAI and agentic AI become key enablers of Genentech&rsquo;s integrated customer experience transformation and digital future.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li><p>
Drive the overarching AI/ML product vision and strategy for GenAI / Agentic AI, leading the innovation of intelligent, forward-looking features that support varying CMG use cases across the customer journey.</p></li><li><p>
Collaborate with cross-functional teams (e.g., Data Science, Informatics/IT, Commercial Strategy) and the Director, GenAI/Agentic AI &ndash; Data Science/AI Product Owner, and Executive Director, GenAI/Agentic AI Suite to shape digital-forward product roadmaps and maintain a prioritized, stack-ranked product backlog.</p></li><li><p>
Develop and own comprehensive GenAI/Agentic AI product roadmaps based on deep user research, market trends, business value, and advanced analytics insights&mdash;ensuring personalized, intelligent, and proactive user experiences.</p></li><li><p>
Collect and synthesize user feedback, real-world usage data, and market signals (including UAT and model performance metrics) to inform product requirements and continuously enhance GenAI/Agentic AI capabilities.</p></li><li><p>
Support the ideation, development, and launch of GenAI/Agentic AI-driven features that power next-best actions, intelligent automation, and personalized recommendations&mdash;delivering measurable impact for business users and customers.</p></li><li><p>
Clearly communicate the value proposition and progress of GenAI/Agentic AI capabilities to internal stakeholders, ensuring alignment with user needs, enterprise priorities, and technical feasibility.</p></li><li><p>
Partner closely with the Director, GenAI/Agentic AI &ndash; Data Science / AI Product Owner and Executive Director, GenAI/Agentic AI Suite to lead the development of business cases for new and enhanced GenAI/Agentic AI capabilities that embed AI into Genentech&rsquo;s integrated customer experience model.</p></li><li><p>
Identify and capitalize on unspoken or emerging customer needs by embedding agentic intelligence into digital platforms&mdash;shaping strategy, influencing enterprise direction, and accelerating Genentech&rsquo;s digital transformation.</p></li><li><p>
Manage external (US and offshore) consultants to ensure the delivery of high-quality, scalable, and ethical AI solutions that integrate seamlessly with enterprise systems and platforms.</p></li><li><p>
Orchestrate collaboration across CMG business functions, IT, and enterprise product teams to ensure integrated execution, responsible AI governance, and transformative outcomes at scale.</p></li><li><p>
Comply with all laws, regulations, and company policies that govern the conduct of Genentech activities.</p></li></ul><p></p><p><b><i>
Who You Are</i></b></p><p>
Minimum Candidate Qualifications &amp; Experience</p><ul><li><p>
Bachelor&rsquo;s degree in business, data science, engineering, or a related field.</p></li><li><p>
8 years of combined experience in product management, data science, AI, software development or equivalent experience.</p></li><li><p>
Experience owning the entire Data Science /AI product lifecycle&mdash;from ideation and strategy to market execution and post&#8209;launch optimization&mdash;ensuring comprehensive governance and measurable business outcomes.</p></li><li><p>
Proven experience in setting and driving the AI/ML product vision and strategy at an enterprise level, with a focus on transformative digital initiatives.</p></li><li><p>
Demonstrated ability to engage, influence, and communicate with senior leaders and executive stakeholders.</p></li><li><p>
Experience managing complex, multi&#8209;unit product roadmaps and integrating AI/ML initiatives across various business segments.</p></li><li><p>
Solid background in leading high&#8209;impact experimentation efforts and using data&#8209;driven insights to continuously innovate product offerings.</p></li><li><p>
Demonstrated experience researching AI/ML industry trends and integrating insights into product strategy and roadmaps.</p></li><li><p>
Ability to write detailed, technical product specifications and present effectively to both technical and non&#8209;technical audiences.</p></li><li><p>
Strong understanding of agile methodologies such as Kanban and Scrum.</p></li><li><p>
Ability to innovate and foster experimentation to improve product capabilities.</p></li><li><p>
Robust knowledge of enterprise architectures and solutions (e.g., SaaS, PaaS, IaaS).</p></li><li><p>
Relevant certifications in product management, machine learning, data science, or related disciplines.</p></li></ul><p></p><p>
Additional Desired Candidate Qualifications &amp; Experience</p><ul><li><p>
Advanced degree (M.S., MBA, or related field) with specialization in AI, Data Science, or product management.</p></li><li><p>
Experience in healthcare, pharmaceutical, or other highly regulated industries.</p></li><li><p>
Demonstrated ability to mentor and coach cross&#8209;functional teams and to lead by example through a practice-based apprenticeship model.</p></li><li><p>
Subject matter expertise in product management, with a history of innovating and transforming digital product capabilities.</p></li><li><p>
Experience with tools and platforms used in citizen data science, automated analytics, and collaborative modeling environments.</p></li><li><p>
Familiarity with performance monitoring, platform scalability strategies, and cost</p></li><li><p>
optimization.</p></li><li><p>
Hands-on exposure to user research or design-thinking approaches to improve data tool usability and effectiveness.</p></li></ul><p></p><p>
Location</p><ul><li><p>
This position is based in South San Francisco, CA</p></li><li><p>
Relocation Assistance is not available</p></li></ul><p></p><p><i>
The expected salary range for this position based on the primary location of South San Francisco, CA is $207,480-$385,320.. 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.</i></p><p><b><i>
 </i></b>Benefits</p><p></p><p><b>
#BoFTSAI</b></p><p></p><p><br>
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.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Computational 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 10th 2025
</p></div><div><b>Job ID</b><b>
</b><p>202505-111605</p></div></ul></div></div></div></div><p></p>

Principal Data Science/AI Product Manager (Predictive AI/ Agentic AI)

<div><div><div>THE POSITION</div><p><b>
Why Genentech</b></p><p>
We&rsquo;re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world&rsquo;s most complex health challenges and transforming society.</p><p></p><p><b>
Who We Are</b></p><p>
Our Data, Analytics, and AI team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Analytics, and AI empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.</p><p>
Data, Analytics, and AI team members foster a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG&rsquo;s evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.</p><p>
In Data, Analytics, and AI, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.</p><p></p><p><b>
Job Summary</b></p><p>
The Principal Data Science / AI Product Manager (Analytical Workbench) in Genentech is responsible for driving the development and execution of cutting-edge AI/Machine Learning (ML) product features that elevate Genentech&rsquo;s customer experience and deliver measurable business impact. Focused on the Analytical Workbench&mdash;a flagship platform enabling scalable analytics and insight delivery&mdash;this role plays a critical part in advancing Genentech&rsquo;s digital transformation. This position partners closely with cross-functional teams and product leaders to shape digital-forward roadmaps, translate user feedback and market trends into actionable product enhancements, and build compelling business cases for innovation. With a strong focus on user-centric design and strategic foresight, this role leads the integration of AI/ML into enterprise platforms, identifies unmet customer needs, and ensures the Analytical Workbench evolves into a central enabler of fast, targeted decision-making.</p><p>
The role also supports high-quality solution delivery through external team management, mentors peers to foster organizational expertise, and ensures seamless collaboration across business and technology functions for enterprise-wide success.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li><p>
Drive the overarching AI/ML product vision and strategy for the Analytical Workbench, leading the innovation of our AI/ML and analytics platform to support varying CMG use cases across the customer journey.</p></li><li><p>
Collaborate with cross-functional teams (e.g., Data Science, Data, Informatics/IT) and the Director, Analytical Workbench - Data Science/AI Product Owner to shape digital-forward product roadmaps and maintain a prioritized, stack-ranked product backlog for capabilities such as a data science/AI workbench, analytics co-pilot(s), coding assessments, and visualization tools.</p></li><li><p>
Develop and own comprehensive AI/ML product roadmaps for the Analytical Workbench based on deep user research, market trends, business impact, and data insights&mdash;ensuring a differentiated and exceptional user experience.</p></li><li><p>
Collect and analyze user feedback, market signals, platform data, and UAT results to inform product requirements and drive meaningful feature enhancements within the Analytical Workbench.</p></li><li><p>
Provide a comprehensive set of tools for data scientists to perform their work throughout the AI/ML product lifecycle, enabling data exploration, preparation, model training, model evaluation, model validation, visualization, collaboration tools, and deployment.</p></li><li><p>
Manage other AI applications that are used to drive and enable business use cases in a federated model across Genentech Commercial, Medical and Government Affairs (CMG); institute governance, standards, and best practices for the utilization of these AI applications.</p></li><li><p>
Steward ethical AI guidelines, responsible AI principles, and fairness and bias mitigation process specific to Genentech Commercial, Medical, and Government Affairs (CMG).</p></li><li><p>
Facilitate effective communication about the Analytical Workbench&rsquo;s value proposition and progress with internal teams and end users, ensuring alignment with both market demands and technical feasibility.</p></li><li><p>
Partner closely with the Director, Analytical Workbench - Data Science / AI Product Owner to lead the development of business cases for integrating AI/ML into new and existing Analytical Workbench capabilities, aligned with Genentech&rsquo;s integrated customer experience transformation.</p></li><li><p>
Identify and capitalize on unmet or unarticulated user needs by embedding AI/ML functionality into the Analytical Workbench, shaping enterprise strategy and accelerating digital transformation.</p></li><li><p>
Manage external (US or offshore) consultants, ensuring delivery of high-quality, scalable solutions that align with platform architecture and user needs.</p></li><li><p>
Orchestrate collaboration across business, IT, and enterprise product teams to ensure integrated execution, strong governance, and transformative outcomes across CMG.</p></li><li><p>
Comply with all laws, regulations, and company policies that govern the conduct of Genentech activities.</p></li></ul><p></p><p><b><i>
Who You Are</i></b></p><p>
Minimum Candidate Qualifications &amp; Experience</p><ul><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, or an equivalent technical field.</p></li><li><p>
8 years of combined experience in product management, data science, AI, software development or equivalent experience.</p></li><li><p>
Experience owning the entire Data Science /AI product lifecycle&mdash;from ideation and strategy to market execution and post&#8209;launch optimization&mdash;ensuring comprehensive governance and measurable business outcomes.</p></li><li><p>
Proven experience in setting and driving the AI/ML product vision and strategy at an enterprise level, with a focus on transformative digital initiatives.</p></li><li><p>
Demonstrated ability to engage, influence, and communicate with senior leaders and executive stakeholders.</p></li><li><p>
Experience managing complex, multi&#8209;unit product roadmaps and integrating AI/ML initiatives across varying business segments.</p></li><li><p>
Solid background in leading high&#8209;impact experimentation efforts and using data&#8209;driven insights to continuously innovate product offerings.</p></li><li><p>
Demonstrated experience researching AI/ML industry trends and integrating insights into product strategy and roadmaps.</p></li><li><p>
Ability to write detailed, technical product specifications and present effectively to both technical and non&#8209;technical audiences.</p></li><li><p>
Strong understanding of agile methodologies such as Kanban and Scrum.</p></li><li><p>
Ability to innovate and foster experimentation to improve product capabilities.</p></li><li><p>
Robust knowledge of enterprise architectures and solutions (e.g., SaaS, PaaS, IaaS).</p></li><li><p>
Relevant certifications in product management, machine learning, data science, or related disciplines.</p></li></ul><p></p><p>
Additional Desired Candidate Qualifications &amp; Experience</p><ul><li><p>
Advanced degree or equivalent experience (e.g., MBA or related graduate-level qualification).</p></li><li><p>
Experience in healthcare, pharmaceutical, or other highly regulated industries.</p></li><li><p>
Demonstrated ability to mentor and coach cross&#8209;functional teams and to lead by example through a practice-based apprenticeship model.</p></li><li><p>
Subject matter expertise in product management, with a history of innovating and transforming digital product capabilities.</p></li><li><p>
Experience with tools and platforms used in citizen data science, automated analytics, and collaborative modeling environments.</p></li><li><p>
Familiarity with performance monitoring, platform scalability strategies, and cost optimization.</p></li><li><p>
Hands-on exposure to user research or design-thinking approaches to improve data tool usability and effectiveness.</p></li></ul><p></p><p>
Location</p><ul><li><p>
This position is based in South San Francisco, CA</p></li><li><p>
Relocation Assistance is not available</p></li></ul><p></p><p><i>
The expected salary range for this position based on the primary location of South San Francisco, CA is $207,480 - $385,320. 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.</i></p><p><b><i>
 </i></b>Benefits</p><p></p><p><b>
#BoFTSAI</b></p><p></p><p>
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.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Computational 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 10th 2025
</p></div><div><b>Job ID</b><b>
</b><p>202505-111594</p></div></ul></div></div></div></div><p></p>

Principal Data Science / AI Product Manager (Analytical Workbench)

Until

<div>
 <strong>
  About Until
  <br/>
 </strong>
 Until is a moonshot company building a pause button for biology. In the short run, we believe this technology will meaningfully change the lives of all organ transplant patients. In the limit, we believe this technology can unlock medical hibernation, deep space exploration, and fundamentally change humanity's relationship with the future.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
 </strong>
 We are seeking a scientist / senior scientist. Initial responsibilities will include implementing and improving our whole-body perfusion system as well as developing physiological evaluation platforms to assess the viability of vascular systems and organ systems.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Implement and modify our whole-body perfusion system, monitor and maintain central physiology parameters (pressure, heart rate, respiratory rate, blood gas parameters etc)
  </li>
  <li>
   Design and implement assays to assess organ, tissue and vascular damage following perfusion and cryopreservation
  </li>
  <li>
   Work with our team to optimize current perfusion protocol and propose novel perfusion and cryopreservation strategies
  </li>
  <li>
   Apply and communicate surgical expertise and medical insights to the team
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You&rsquo;ve completed an MD, PhD or DVM, ideally in medical research.
  </li>
  <li>
   You have demonstrated expertise in rodent surgery
  </li>
  <li>
   You have demonstrated agency and rapid problem solving capability.
  </li>
  <li>
   You have demonstrated the passion to implement creative and novel approaches to solve multifaceted problems as they arise.
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Direct influence on a moon-shot scientific program with clear translational impact
  </li>
  <li>
   Competitive compensation package, including salary and equity
  </li>
  <li>
   Generous medical, dental and vision insurance coverage for employees and their dependents
  </li>
  <li>
   Flexible time off and paid holidays
  </li>
  <li>
   Access to a 401(k) retirement savings plan
  </li>
  <li>
   FSA and commuter benefits
  </li>
  <li>
   Subsidized lunch daily
  </li>
  <li>
   Budget and time allocation for professional development and conference travel
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
</div>


Scientist / Sr. Scientist, Medical Hibernation

Gladstone Institutes

<div><div>Category:</div>
Science<div><br>
Lab/Area:</div>
Mucke Lab<div></div><div>
Description:</div><div></div><div>
Are you interested in brain diseases and would like to contribute to this important area of research in an intellectually stimulating, interdisciplinary academic environment?</div><div></div><div>
Opportunity: Research Associate/Scientist<br>
The Gladstone Institute of Neurological Disease at San Francisco&rsquo;s Mission Bay Campus could offer you outstanding opportunities to pursue this goal and improve the lives of people around the world. The successful candidate will work directly with innovative neurobiologists in the <div>Mucke Lab</div> as well as with collaborators across other groups, helping to unravel disease mechanisms and identify new therapeutic targets.</div><div></div><div>
The qualified candidate is a highly motivated, interactive, and creative individual with the ability to work in a multidisciplinary environment to advance disease-focused neuroscience. The successful candidate will also have excellent verbal and written communication skills and the capability to effectively present scientific results to other scientists.</div><div><br>
Relevant Qualifications and Experience:</div><ul><li><div>
Undergraduate or graduate degree in neurobiology or related fields with demonstrated independence in executing experiments, data analysis, and troubleshooting</div></li><li><div>
Management of complex mouse colonies, including breeding and genotyping of mice, and computerized record-keeping</div></li><li><div>
Small rodent surgeries, including stereotactic injections and electrode implantations</div></li><li><div>
Cell-based and biochemical assays, including western blotting, ELISA/MSD, reporter assays, and RT-qPCR</div></li><li><div>
Establishment and analysis of primary brain cell cultures</div></li><li><div>
Histology and light microscopy, including tissue processing, immunostaining, and image processing</div></li><li><div>
Molecular biology techniques, including cloning, preparation of viral vectors, CRISPR, and siRNA knockdown</div></li><li><div>
Preparation of animal and biosafety protocols for institutional approval</div></li><li><div>
Providing training in these areas and facilitating project coordination</div></li></ul><div></div><div>
Preferred Attributes:</div><ul><li><div>
Excellent communication, interpersonal, multitasking, and organizational skills</div></li><li><div>
A strong work ethic with exceptional levels of accuracy and attention to detail</div></li><li><div>
Eager to take initiative and committed to continual self-improvement</div></li><li><div>
Proactively prevents problems and efficiently addresses unexpected challenges in a rapidly evolving environment</div></li></ul><div></div><div>
Physical Requirements:<br>
Bending, squatting, climbing stairs, pushing/pulling up to 25 pounds, reaching above shoulder level, sitting, standing, walking, carrying/lifting 20-25 pounds, repetitive movements of upper and lower extremities. May be exposed to chemical agents.</div><div></div><div>
To apply, please include your statement of interests, resume, and contact information for 3 references.</div><div></div><ul><li>Title and salary will be commensurate with education and experience.</li></ul><div>
Salary Range:</div><div>
Research Associate III- $73-$86K</div><div>
Senior Research Associate- $84-$99K</div><div>
Research Scientist $95K-$112K</div><div><br>
Gladstone Perks &amp; Benefits</div><ul><li><div><i>
People</i>&ndash;work with talented, committed, and supportive teammates within an organization that values each member of its community.</div></li><li><div><i>
A meaningful place to grow and learn</i>&ndash;whether it&rsquo;s your professional skills or scientific knowledge, we have the resources and environment to advance either so you can better support Gladstone&rsquo;s mission to drive a new era of discovery in disease-oriented science and to mentor tomorrow&rsquo;s leaders in an inspiring and excellent environment.</div></li><li><div><i>
Healthy work/life balance</i>&ndash;you are highly engaged and productive at work because you can have time to recharge and enjoy a vibrant life outside of work.</div></li><li><div><i>
Compensation</i>&ndash;competitive salary. Title and salary will be commensurate with education and experience.</div></li><li><div><i>
Excellent benefits</i>&ndash;generous medical, dental, vision, retirement plan, paid vacation, commuter benefits, access to free shuttle transportation.</div></li></ul><div><br>
Gladstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, sex, religion, national origin, ancestry, age, marital status, medical condition, physical or mental disability, veteran status, sexual orientation, or any other non-job related characteristic. We make all employment decisions so as to further this principle of equal employment.</div></div>

Research Associate III / Research Scientist

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