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senior data scientist, advanced risk modeling Jobs in San Francisco

senior data scientist, advanced risk modeling

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senior director, biostatistics

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senior data scientist advanced risk modeling

Oscar Health

<div><p>Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data team.</p>
<p>
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves&mdash;one that behaves like a doctor in the family.</p>
<p><b>
About the role:</b></p>
<p>
The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain.</p>
<p>
You will report into the Director of Data.</p>
<p><b>
Work Location: </b>This is a remote position, open to candidates who reside in: San Francisco, CA. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote</p>
<p><b>
Pay Transparency: </b>The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li><p>Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors.</p>
</li>
<li><p>Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain.</p>
</li>
<li><p>Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models.</p>
</li>
<li><p>Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems.</p>
</li>
<li><p>Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment.</p>
</li>
<li><p>Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems.</p>
</li>
<li><p>Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units.</p>
</li>
<li><p>Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows.</p>
</li>
</ul><p><b>Requirements:</b></p>
<ul>
<li><p>4+ years of industry or other quantitative technical fields (which may include academia).</p>
</li>
<li><p>3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data</p>
</li>
<li><p>3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing</p>
</li>
</ul><p><b>Bonus points:</b></p>
<ul>
<li><p>Advanced degree in a quantitative or technical field</p>
</li>
<li><p>Experience in the healthcare, finance and/or insurance industries</p>
</li>
</ul><div><p>This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.</p>
<p>
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care - an experience made whole by our unique backgrounds and perspectives.</p>
<p><b>
Pay Transparency: </b>Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.</p>
<p><b>
Artificial Intelligence (AI): </b>Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.</p>
<p><b>
Reasonable Accommodation: </b>Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.</p>
<p><b>
California Residents:</b> For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.</p></div></div>

Senior Data Scientist, Advanced Risk Modeling

Waymo

<div>
 Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
 <br/>
 <br/>
 The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
 <br/>
 <br/>
 In this hybrid role, you will report to a Senior Research Scientist.
 <br/>
 <br/>
 <strong>
  You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Participate in Waymo&rsquo;s foundation model post-training and evaluation
  </li>
  <li>
   Develop cutting edge RL and Distillation techniques for Autonomous Vehicle Trajectory Planning
  </li>
  <li>
   Integrate emerging research from the broader AI community into Waymo&rsquo;s internal infrastructure, conducting rigorous ablations to identify and scale the most promising methods
  </li>
  <li>
   Collaborate with other teams to share techniques developed in the AI Foundations teams to other teams at Waymo
  </li>
  <li>
   Integrate Waymo&rsquo;s multimodal models into simulators of different levels of fidelity
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor degree in Computer Science, similar technical field of study, or equivalent practical experience
  </li>
  <li>
   Proficiency in writing and debugging python/numpy-style code
  </li>
  <li>
   A willingness to work with complexity of globally distributed inference infrastructure
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We Prefer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with large scale (many-machine) training infrastructure and techniques for inference with large models such as model sharding/tensor-parallel
  </li>
  <li>
   Reinforcement Learning infrastructure experience
  </li>
  <li>
   Large scale distributed inference experience
   <br/>
   <br/>
  </li>
 </ul>
 The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
 <br/>
 <br/>
 Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
 <br/>
 <br/>
 Salary Range
 <br/>
 <br/>
 $204,000&mdash;$259,000 USD
</div>


Software Engineer, Machine Learning

UCSF Health

<p></p><div><div><div><div><p>Perform test procedures in Molecular Diagnostics. Responsible for pre-analytical, analytical, and post-analytical processes associated with specimen processing, test performance and reporting test results.<br>
Perform isolation of DNA and RNA from human blood and bone marrow specimens using manual and automated techniques to set-up molecular assays and perform analysis of data. Experience with PCR, qPCR, capillary electrophoresis, and other molecular platforms is preferred.<br>
Transcribe and report test results. Operate laboratory instrumentation &amp; equipment to accurately generate test results.<br>
Initiate troubleshooting of errant laboratory instrumentation &amp; equipment as needed. Follow established quality control procedures and participate in all associated tasks in the section.<br>
<br>
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 $68.81 - $85.71 (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><ul><li>California Clinical Laboratory Scientist license or Clinical Genetics Molecular Biologist license</li><li>
Bachelor of Science degree</li><li>
The flexibility to orient and work at all UCSF Medical Center locations is required</li></ul></div>
</div><div><p><b>Preferred Qualifications</b></p>
<div><ul><li>Recent clinical experience in molecular diagnostics laboratory</li><li>
Previous experience in high-volume clinical laboratory testing
</li><li>Experience with current automation used in the Molecular Diagnostics section</li></ul></div>
</div><div><p><b>License/Certification</b></p>
<div><ul><li>California Clinical Laboratory Scientist license or Clinical Genetics Molecular Biologist 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 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.</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>100%</div>
</div><div><p><b>Location</b></p>
<div>San Francisco, CA
</div></div><div><p><b>Campus</b></p>
<div>China Basin (SF)
</div></div><div><p><b>Work Style</b></p>
<div>Fully On-Site</div>
</div><div><p><b>Shift</b></p>
<div>Days</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</div></div></div></div><div></div>

Clinical Lab Scientist

Alignerr

<div>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 The
 <strong>
  Clinical Trial Research Scientist
 </strong>
 evaluates clinical study protocols, trial designs, endpoints, statistical plans, and study results. This role emphasizes methodological rigor, documentation clarity, and accurate interpretation of safety and efficacy outcomes.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Review clinical trial protocols and identify methodological strengths or gaps
  </li>
  <li>
   Analyze endpoints, inclusion/exclusion criteria, and study controls
  </li>
  <li>
   Interpret trial results and summarize safety and efficacy findings
  </li>
  <li>
   Validate statistical analysis plans for completeness and accuracy
  </li>
  <li>
   Identify operational or scientific risks in trial execution
  </li>
  <li>
   Support recurring evaluations of clinical documentation and study outputs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must-Have
  <br/>
  <br/>
 </strong>
 <strong>
  What You Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in clinical research, biostatistics, or pharmaceutical science
  </li>
  <li>
   Strong understanding of trial methodology and regulatory standards
  </li>
  <li>
   Ability to interpret trial data and communicate findings clearly
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Phase I&ndash;IV trials or specific therapeutic areas
  </li>
 </ul>
</div>


Clinical Trial Research Scientist

daydream

<div>
 <strong>
  About Daydream
  <br/>
  <br/>
 </strong>
 <em>
  <strong>
   daydream builds growth marketing playbooks for the world&rsquo;s fastest growing companies.
   <br/>
   <br/>
  </strong>
 </em>
 <em>
  Note: This role requires candidates to be in-person, in-office 3 days per week in our Hayes Valley, San Francisco office.
  <br/>
  <br/>
 </em>
 We believe the future of growth marketing is one where companies pay for outcomes, rather than tools. Today, we leverage a combination of AI-enabled services + software to execute SEO growth playbooks for companies like Clay, Descript, and Beacons and dozens of others. In the future, we'll expand our capabilities across the entire growth marketing stack, encompassing all essential customer acquisition channels.
 <br/>
 <br/>
 We've raised $6.2M from leading investors like First Round Capital, Basis Set Ventures, WndrCo, SOMA Capital and current and former Heads of Growth at companies like Notion, Airtable, Webflow and Dropbox as well as notable angels like Lenny Rachitsky and Eli Schwartz, Author of Product-Led SEO.
 <br/>
 <br/>
 🔧 The problem we&rsquo;re trying to solve
 <br/>
 <br/>
 Every company needs to do two things:
 <br/>
 <br/>
 <ul>
  <li>
   Build a product.
  </li>
  <li>
   Acquire customers.
   <br/>
   <br/>
  </li>
 </ul>
 There are three ways to acquire customers &mdash; sales, product-led growth, and growth marketing. Of these three, growth marketing is particularly hard to staff for because great internal talent is find (ex. in SEO, there are probably &lt; 20 people who we would consider world-class), and time-consuming to ramp.
 <br/>
 <br/>
 Then there&rsquo;s the agencies, but agencies are often slow, lack strong technical talent, and in general are associated with poor quality of outcomes.
 <br/>
 <br/>
 🧑&zwj;💻 How we&rsquo;re solving this problem
 <br/>
 <br/>
 daydream is different &mdash; we&rsquo;ve built a vertically integrated software + services stack with a singular goal in mind &mdash; deliver outstanding outcomes for every customer we service, repeatedly and consistently in a fraction of the time they expect. While we&rsquo;ve started with SEO, we expect to expand to all other major growth marketing channels over the near future.
 <br/>
 <br/>
 🤝 The people you&rsquo;ll be working with
 <br/>
 <br/>
 <ul>
  <li>
   Shravan (CTO): Shravan was previously an Engineering Lead at Flixed. Before that, Shravan worked as a Software Engineer at Facebook for three years, where he worked on mass-scale web scraping for Facebooks&rsquo; Jobs product, and Meta Reality Labs.
  </li>
  <li>
   Vishruth (Founding Applied AI Engineer): Prior to joining Daydream, he worked as a Data Scientist at Klaviyo, specializing in NLP. Before that, he was at Cornell working on research projects with companies such as Home Depot and CVS Health.
  </li>
  <li>
   Tom (Founding Designer): Prior to joining daydream, Tom led the design of innovative products at Blockless, delivering refined user and developer experience in decentralized computing. Occasionally, Tom also does some UI engineering.
  </li>
  <li>
   Pedro (Founding Backend Engineer): Previously a Tech Lead at Relativity, Pedro developed distributed automated workflows using Azure, Logic Apps, Durable Functions, and Event-Driven Architecture. In his spare time, he dabbles in C++ and game development.
   <br/>
   <br/>
  </li>
 </ul>
 🥞 Our stack
 <br/>
 <br/>
 <ul>
  <li>
   Python
  </li>
  <li>
   TypeScript (T3 based)
  </li>
  <li>
   C# (.NET 9)
  </li>
  <li>
   Postgres
  </li>
  <li>
   Google Cloud
  </li>
  <li>
   LLMs (GPT, Claude, Gemini)
   <br/>
   <br/>
  </li>
 </ul>
 👷🏻&zwj;&female;️ What You&rsquo;ll Be Doing Here
 <br/>
 <br/>
 As an
 <strong>
  AI Engineer
 </strong>
 at daydream, you'll be at the forefront of innovation, driving the development of new AI solutions that power our growth marketing strategies. You will
 <br/>
 <br/>
 <ul>
  <li>
   lead projects from conception to deployment, encompassing scoping, research, development, and implementation of AI-driven solutions.
  </li>
  <li>
   architect, evaluate, and optimize complex LLM pipelines to achieve near perfect accuracy in real-world applications.
  </li>
  <li>
   collaborate closely with engineers, designers, and growth leads, to integrate AI capabilities into our products and services.
  </li>
  <li>
   rapidly build and iterate on prototypes with quality in mind.
   <br/>
   <br/>
  </li>
 </ul>
 ✅
 <strong>
  You&rsquo;ll be an excellent fit if you
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   are an expert at NLP, with more than just API-level experience. You have strong mental models of transformer-based architectures, embeddings, and the underlying mechanisms that drive modern language models.
  </li>
  <li>
   have a solid grounding in, and a interest in, probabilistic modeling, algorithms, experimental design, and statistical inference.
  </li>
  <li>
   are ready to stay adaptable in a startup environment, take on multiple roles, and step outside your comfort zone when needed.
  </li>
  <li>
   enjoy staying abreast of emerging AI trends and technologies.
  </li>
  <li>
   have an extremely high bar for quality and a keen eye for detail.
   <br/>
   <br/>
  </li>
 </ul>
 ❌
 <strong>
  This role
 </strong>
 <em>
  <strong>
   won&rsquo;t
  </strong>
 </em>
 <strong>
  be a good fit if you
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   are uncomfortable navigating new projects with minimal direction and embracing ambiguity.
  </li>
  <li>
   are looking for a narrowly scoped role.
  </li>
  <li>
   struggle to move fast and adapt in a rapidly evolving environment.
   <br/>
   <br/>
  </li>
 </ul>
 🏦 Compensation
 <br/>
 <br/>
 The compensation for this role is $180k - $220K base salary with generous equity in daydream.
 <br/>
 <br/>
 <em>
  For applicants outside of the San Francisco Bay Area, we are offering paid relocation.
  <br/>
  <br/>
 </em>
 Compensation Range: $160K - $220K
 <br/>
 <br/>
</div>


AI Engineer

Olema Oncology

<div><div><p>Olema Oncology is dedicated to developing better medicines for breast cancer and beyond. Our lead program, palazestrant (OP-1250), is a complete estrogen receptor antagonist (CERAN) currently in development for metastatic breast cancer with blockbuster potential as a monotherapy and in combination in ER+/HER2- metastatic breast cancer. Our follow-on product candidate, OP-3136, is a potent KAT6 inhibitor with best-in-class potential.
</p><p>Our scientific breakthroughs are accelerated through the ways in which we fearlessly support, motivate, and challenge one another. At Olema, we know that when we put people first, our work becomes second to none. If you're ready to join us at the edge of something unstoppable, let's make a profound impact together for <b>our patients, for your career, for what's beyond</b>.</p>
<p>
You can view our latest corporate deck and other presentations here.</p></div><p><b>
About the Role &gt;&gt;&gt; Director, Clinical Monitoring Oversight</b></p>
<p>
As the Director, Clinical Monitoring Oversight, reporting to the Senior Director, Clinical Operations, you will provide strategic and operational leadership for global clinical site monitoring activities across Olema's clinical programs. You will ensure that clinical monitoring &ndash; whether by internal teams, through Functional Service Providers (FSPs), or outsourced to Clinical Research Organizations (CROs) &ndash; is executed with high standards of quality and consistency while maintaining compliance with GCP regulations. You will oversee Olema's Clinical Monitoring Oversight Leads, regional monitoring teams, and site performance. As the Director, Clinical Monitoring Oversight, you will develop and implement monitoring oversight strategies and standards for Olema's clinical monitoring execution worldwide&mdash;driving operational excellence, data integrity, and inspection readiness across all trials with an emphasis on risk-based, data driven processes.</p>
<p>
This role is based out of either our Boston, MA or San Francisco, CA office and will require about travel 15% travel.
</p><p>Your work will <i>primarily</i> encompass:</p>
<ul>
<li>Provide strategic direction and operational oversight of all global monitoring activities across Olema's clinical programs</li>
<li>Oversee internal clinical monitoring oversight team and FSP vendor responsible for providing Regional Site Monitoring Leads (RSMLs), ensuring alignment, consistency, and accountability across global regions</li>
<li>Establish and maintain effective governance with the FSP partner, including performance management, risk mitigation, and continuous improvement in monitoring quality and efficiency</li>
<li>Define and implement Olema's monitoring strategy, including risk-based and centralized monitoring approaches in alignment with ICH-GCP and regulatory expectations</li>
<li>Ensure global harmonization of clinical monitoring processes, training, and documentation across programs and regions</li>
<li>Develop and monitor key performance indicators (KPIs) and quality metrics to evaluate site performance, FSP delivery, and regional oversight effectiveness</li>
<li>Collaborate with Clinical Operations, Data Management, Clinical Quality, and Clinical Development to ensure monitoring activities are aligned with program objectives and timelines</li>
<li>Contribute to the development and review of key operational documents, including Monitoring Plans, Oversight Plans, Risk Management Plans, and audit/inspection responses</li>
<li>Proactively assess monitoring risks and implement mitigation strategies to maintain inspection readiness</li>
<li>Lead, manage, and mentor internal monitoring oversight staff, fostering collaboration, accountability, and continuous improvement</li>
<li>Serve as the Monitoring Oversight representative on cross-functional and governance teams, presenting program updates, risks, and mitigation strategies to senior management</li>
<li>Drive innovation and process optimization in monitoring oversight practices, including leveraging technology and data analytics to enhance quality and efficiency</li>
</ul>
<p> <b>Ideal Candidate Profile &gt;&gt;&gt;</b></p>
<p><b>
A love of challenging, important work. </b>We are a pragmatic team, driven to imagine and develop meaningful therapies for improving lives. All employees within our company play a unique and crucial role in our success, both in accomplishing our mission and building a positive company culture. As such, we are looking for someone with the right combination of <i>knowledge</i>, <i>experience</i>, and <i>attributes</i> for this role.</p>
<p><i>
Knowledge:</i></p>
<ul>
<li>Bachelor's or Master's degree in a scientific discipline or a related scientific field is required</li>
<li>Strong understanding of ICH-GCP, FDA, EMA, and other global regulatory requirements related to monitoring and clinical trial conduct</li>
</ul>
<p> <i>Experience:</i></p>
<ul>
<li>Minimum 12 years of clinical operations experience in the pharmaceutical or biotech industry</li>
<li>Minimum 5 years direct site monitoring experience (qualification, initiation, interim, and close-out visits) with strong understanding of site operations and clinical trial execution</li>
<li>Minimum 5 years in a role providing global monitoring oversight, including oversight of clinical site monitors, FSP/CRO management and oversight, monitoring quality metrics, KPIs, and governance, and a track record of driving performance improvement and corrective action plans</li>
<li>Experience overseeing regional monitoring functions and ensuring alignment across geographically distributed teams</li>
<li>Oncology experience is required
 </li></ul><p><i>Attributes:</i></p>
<ul>
<li>Demonstrated ability to manage FSP or CRO partnerships, including contract governance, KPI development, and issue escalation</li>
<li>Skilled in risk-based monitoring methodologies and the use of oversight tools and systems</li>
<li>Strategic thinker with excellent communication, leadership, and interpersonal skills, with the ability to influence cross-functionally and externally</li>
<li>Strong analytical and problem-solving abilities; adept at managing competing priorities in a fast-paced environment</li>
</ul>
<p>The base pay range for this position is expected to be <b><i>$235,000 - $250,000</i></b> annually, however the base pay offered may vary depending on location, market, job related knowledge, skills and capabilities, and experience. The total compensation package for this position also includes equity, bonus, and benefits.</p>
<p>
#LI-CK1</p><div><p><b>
Important Information </b><b>&gt;&gt;&gt;</b><b>
</b></p><p>We provide <b>equal opportunity to all employees and applicants for employment</b> and believe that great ideas and discoveries come from a mix of expertise, background, and experience. Olema is building a culture where the value of difference is celebrated.</p>
<p>
We offer a <b>competitive compensation and benefits package</b>, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants.</p>
<p><i>
Please note: Olema doesn't accept agency resumes and is not responsible for any fees related to unsolicited resumes. Thank you.</i></p>
<p><b><i>
Fraud Alert</i></b><i>: </i>We are aware of employment scams where individuals pose as representatives of Olema Oncology and make false use of our company name to defraud job seekers. To protect yourself, please note that Olema's official email addresses end in @olema.com. Our official corporate website is olema.com; our careers page is olema.com/careers; our LinkedIn page is linkedin.com/company/olema-oncology. Please visit these links for official information from Olema. Communication from any other variant is fraudulent. Olema does not conduct interviews via text message/messaging platforms, will not ask you to download anything as part of your interview, will never request any form of payment, provide upfront payments of any kind, and does not make job offers without an in-person interview.</p></div></div>

Director, Clinical Monitoring Oversight

Genentech

<div><div><div>THE POSITION</div><p><b>
2026 Summer Intern - Learning &amp; Skill Development Data Analyst</b></p><p></p><p><b>
Department Summary</b></p><p>
The Learning &amp; Skill Development (LSD) organization is crucial in establishing a digital culture and mindset across the Commercial and Medical Group (CMG), ensuring all customers&mdash;employees, managers, healthcare providers, and patients&mdash;receive timely and relevant information and skills. LSD is transforming CMG into a continuous learning culture by advancing skills management, digital learning, experiential learning, and workflow learning. The team includes learning business partners with deep business acumen, Learning Design Architects focusing on perennial and business transformation areas, and instructional designers and multimedia partners who build best-in-class learning products. LSD scales these products through facilitators, learning technologists, and an analytics function that links skill development to business impact.</p><p><b><br>
This position is based in South San Francisco, CA, On-Site.</b></p><p></p><p><b>
The Opportunity</b></p><p>
We are seeking a highly motivated Data Analyst Intern to join the Business, Data, and Insights team within the LSD organization. The successful candidate will support data-driven decision-making, develop and maintain advanced data analytics tools, and collaborate with various stakeholders to generate actionable insights.</p><p><br>
This internship provides the unique opportunity to tackle a high-impact, cross-functional project focused on generating insights to inform operational efficiency across the organization. You will acquire and analyze data to identify operational gaps, root causes, and recommendations to help the organization streamline its processes.</p><ul><li><p>
Assist in designing and implementing data analytics tools under the guidance of senior team members.</p></li><li><p>
Contribute to the development and maintenance of analytic products</p></li><li><p>
Collaborate with Learning Business Partners to gather data requirements and share preliminary insights.</p></li><li><p>
Utilize statistical tools to identify trends and patterns in datasets.</p></li><li><p>
Ensure data accuracy and quality by performing data cleaning tasks.</p></li><li><p>
Support stakeholders in identifying opportunities for process improvement.</p></li><li><p>
Maintain accurate records of findings and participate in team discussions to share insights.</p></li></ul><p><b>
Program Highlights</b></p><ul><li><p>
 Intensive 12-weeks , full-time (40 hours per week) paid internship.</p></li><li><p>
Program start dates are in May/June (Summer)</p></li><li><p>
A stipend, based on location, will be provided to help alleviate costs associated with the internship.</p></li><li><p>
Ownership of challenging and impactful business-critical projects.</p></li><li><p>
Work with some of the most talented people in the biotechnology industry.</p></li><li><p>
Final presentations of project work to senior leaders.</p></li><li><p>
Participate in intern committees to design and coordinate program events and initiatives.</p></li><li><p>
Professional and personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions.</p></li><li><p>
Participate in volunteer projects, social events, and team-building activities.</p></li></ul><p></p><p><b>
Who You Are (Requirements)</b></p><p><b>
Required Education:</b></p><ul><li><p>
Must have attained a Bachelor's Degree (not currently enrolled in a graduate program).</p></li></ul><p></p><p><b>
Required Majors: </b>Business Analytics, Data Science, Finance, Economics, Information Systems, Psychology, Social Sciences, Business Administration</p><p></p><p><b>
Required Skills</b></p><ul><li><p>
Proficiency in statistical analysis and data visualization tools (e.g., Tableau, Qlik, Power BI).</p></li><li><p>
Experience in data manipulation and analysis.</p></li><li><p>
Familiarity with data cleaning and processing techniques.</p></li><li><p>
Excellent communication skills and ability to translate complex data into actionable insights.</p></li></ul><p></p><p><b>
Preferred Knowledge, Skills, and Qualifications</b></p><ul><li><p>
Excellent communication, collaboration, and interpersonal skills.</p></li><li><p>
Complements our culture and the standards that guide our daily behavior &amp; decisions: Integrity, Courage, and Passion.</p></li><li><p>
Programming skills with experience in SQL, Python, or R.</p></li><li><p>
Previous experience with educational or biomedical data is a plus.</p></li><li><p>
Experience in developing and implementing databases and data collection systems.</p></li><li><p>
Strong attention to detail and problem-solving skills.</p></li><li><p>
Excellent collaboration and interpersonal skills.</p></li></ul><p></p><p><b>
Relocation benefits are not available for this job posting.</b></p><p></p><p>
The expected salary range for this position based on the primary location of South San Francisco, CA is $50/hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.</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>Internships &amp; Co-ops
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Temporary (Fixed Term)
</p></div><div><b>Posted Date</b><b>
</b><p>Dec 23rd 2025
</p></div><div><b>Job ID</b><b>
</b><p>202512-132681</p></div></ul></div></div></div></div><p></p>

2026 Summer Intern - Learning & Skill Development Data Analyst

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