associate, digital finance transformation - data scientist - private equity performance improvement (open to all us locations)

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data scientist (l4) -  marketing and experience dse Jobs in Nanny Jobs In Los Angeles

data scientist l4 marketing and experience dse

Netflix

<div>
 At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what&rsquo;s next.
 <br/>
 <br/>
 It's an exciting time to join Netflix as we continue to transform entertainment globally. We are bringing new stories to millions of people worldwide by promoting our original, exclusive content. As we move beyond 300 million members and hundreds of partnerships worldwide, our approach to marketing is to build innovative, culturally relevant, creatively excellent campaigns that pierce the zeitgeist and drive conversation.
 <br/>
 <br/>
 Our Experiences team puts fans at the center of their favorite stories, in real life, through permanent entertainment venues, Netflix House, and touring attractions around the world. Netflix Houses are our permanent, always-on, constantly refreshable entertainment venues, where guests can step into their favorite stories. We want these experiences, along with merchandise offerings, to help promote love for our titles so they become part of the conversation zeitgeist for longer periods of time and drive long-term value for Netflix.
 <br/>
 <br/>
 Data is a crucial component in shaping our comprehensive conversation strategy. In Content &amp; Conversation Applied Science and Analytics (CASAS) DSE, we focus on delivering data products and insights that support our business partners in their complex and nuanced decision-making processes. We are a highly collaborative team that partners across Netflix to drive impact.
 <br/>
 <br/>
 We are seeking a talented Data Scientist to provide key insights and thought partnership to our Experience team decision makers. You will leverage analytical expertise to build advanced analytical models, develop insights, and uncover trends for Netflix House locations (visitation, attendance, fan behavior, and satisfaction). Your work will directly inform executive decision making as well as optimization and re-forecasting processes in order to enhance fan and House employee experience. In success, you will collaborate on existing priorities but also will propose and execute on new opportunities. This role features ample opportunity for project ownership, leadership and direct influence on impactful business decisions.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Be a strategic thought partner with business stakeholders to define high impact analytical problems and innovative ways to solve them with data.
  </li>
  <li>
   Develop systems to analyze trends in fan behavior, including time spent, arrival and departure patterns, interactions with different Netflix IPs and spaces, and preferences for retail and F&amp;B offerings.
  </li>
  <li>
   Develop robust forecasting models to identify future trends, explaining attendance due to seasonality, location, price demand relationship, and other key influencing factors and enabling the business to make data-driven decisions and proactively adapt strategies based on actionable insights.
  </li>
  <li>
   Act as a trusted advisor to business leaders, directly informing decision-making and operational planning.
  </li>
  <li>
   Actively identify emerging business needs and develop analytical tools to translate outputs to actionable, recommendations for operations teams.
  </li>
  <li>
   Present findings and recommendations to stakeholders through clear, compelling story telling and presentations.
  </li>
  <li>
   Stay current with industry best practices and emerging analytics trends to continuously improve analytics capabilities.
  </li>
  <li>
   Promote and foster a mindset of continuous innovation for internal teams and external partners.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exceptional interpersonal and communication skills to influence stakeholders using clear insights and recommendations.
  </li>
  <li>
   Adept at cultivating strong partnerships.
  </li>
  <li>
   Exceptional thought partnership and engagement abilities with a diverse set of stakeholders and passionate about communicating difficult concepts to non-technical audiences.
  </li>
  <li>
   Experience with guest or customer satisfaction analytics, forecasting, and operational optimization is highly desirable.
  </li>
  <li>
   Strong statistical knowledge: understanding of predictive modeling; experience in feature engineering, confounder identification and amelioration, etc.
  </li>
  <li>
   A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar), and 4+ years of experience in data science, analytics engineering, or a similar data field.
  </li>
  <li>
   Advanced SQL skills, with experience working in complex data environments.
  </li>
  <li>
   Experience with scripting languages, particularly Python.
  </li>
  <li>
   Exceptional analytical and problem-solving skills with a keen attention to detail and desire to think outside the box and innovate
  </li>
  <li>
   Experience with data visualization platforms (e.g., Tableau, Looker, Plotly) is a plus
  </li>
  <li>
   Experience in retail, entertainment, or hospitality sectors is a plus.
  </li>
  <li>
   Enthusiastic about Netflix culture.
   <br/>
   <br/>
  </li>
 </ul>
 Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $280,000.00 - $421,000.00.
 <br/>
 <br/>
 Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
 <br/>
 <br/>
 Netflix is a unique culture and environment. Learn more here.
 <br/>
 <br/>
 Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
 <br/>
 <br/>
 We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
</div>


Data Scientist (L4) -  Marketing and Experience DSE

Create Music Group

<div><p>Established in 2015, Create Music Group is a leading music and entertainment company. The company operates as a record label, distribution company, and entertainment network which generates over 15 billion music streams each month on DSP&rsquo;s. Named #2 on the Inc 5000 Fastest Growth Companies in America in 2020, the company has grown exponentially by leveraging its owned IP with its media and technology platform. The company works with superstar artists, major and independent record labels, and global media brands. It operates a number of companies including Label Engine, one of the largest independent music distribution platforms in the world, with over 75,000 artists and 5,000 label clients; and Flighthouse, a digital entertainment brand focused on Gen Z, which has more than 300 million followers across social media. Create Music Group is based in Hollywood, CA and has 400 employees worldwide.</p><p></p><p><b><br>
Job Summary</b></p><p>
We are building CreateOS &mdash; a next-generation operating system for modern record labels &mdash; and AI is at the center of it. As a Machine Learning Engineer, you will be a core builder on the team responsible for designing, training, deploying, and maintaining the ML systems that power intelligent automation, forecasting, anomaly detection, and agentic workflows across the platform.</p><p>
This is a hands-on engineering role for someone who is equally comfortable prototyping a new model and shipping it to production. You will work directly with the VP of AI &amp; ML Engineering and partner closely with Data Engineering, Analytics, and Product to move AI from experimentation into reliable, scalable production systems embedded in real user workflows.</p><p>
Your immediate impact will be on three of CMG's highest-priority AI initiatives: M&amp;A catalog valuation forecasting, AI-driven A&amp;R discovery, and marketing automation agents &mdash; each directly tied to revenue growth and competitive differentiation.</p><p></p><p><b><br>
Responsibilities</b></p><p><b>
Applied Machine Learning</b></p><ul><li>
Build and maintain ML models for forecasting, anomaly detection, classification, ranking, and optimization across music industry use cases (catalog valuation, royalty reasoning, A&amp;R intelligence, marketing performance, etc.)</li><li>
Partner with Analytics &amp; BI to identify, engineer, and validate features that drive meaningful predictive power</li><li>
Own the full ML lifecycle &mdash; from problem framing and data exploration through training, evaluation, deployment, and monitoring</li></ul><p><b>
MLOps &amp; Production Engineering</b></p><ul><li>
Deploy and monitor models in production using modern MLOps tooling</li><li>
Instrument models for performance tracking, drift detection, and continuous improvement</li><li>
Implement CI/CD, automated testing, model versioning, and observability for all ML systems</li><li>
Collaborate with Data Engineering to ensure data quality, feature delivery, and pipeline reliability</li></ul><p><b>
Agentic AI &amp; LLM Systems (Stretch)</b></p><ul><li>
Develop and maintain modular AI agents that automate multi-step workflows across CreateOS (contracts, accounting, distribution, metadata)</li><li>
Build and iterate on RAG pipelines, retrieval architectures, and semantic search systems grounded in structured business data</li><li>
Implement guardrails, evaluation frameworks, and safe action boundaries for agentic systems</li></ul><p><b>
Collaboration &amp; Communication</b></p><ul><li>
Translate business problems from non-technical stakeholders into well-scoped ML solutions</li><li>
Document model design decisions, evaluation results, and known limitations clearly</li><li>
Contribute to a culture of engineering rigor and responsible AI development</li><li>
Other duties as assigned</li></ul><p><b>
Qualifications</b></p><ul><li>
2+ years of software engineering experience in a production environment, with exposure to ML or data science work (academic, professional, or project-based); OR 2+ years of experience specifically as an ML Engineer or Applied Data Scientist</li><li>
Strong proficiency in Python and ML frameworks (PyTorch, scikit-learn, XGBoost, or similar)</li><li>
Hands-on experience building, deploying, and monitoring models in cloud environments &mdash; GCP strongly preferred (AWS or Azure acceptable); familiarity with services such as Vertex AI, BigQuery, Cloud Functions, and Cloud Run is a strong plus</li><li>
Solid understanding of modern ML techniques &mdash; supervised/unsupervised learning, time series forecasting, embeddings, ranking &mdash; and their mathematical foundations</li><li>
Experience with LLMs and prompt engineering, including building RAG systems or LLM-powered features</li><li>
Comfortable working with structured and unstructured data at scale</li><li>
Strong communication skills with the ability to explain complex model behavior to non-technical audiences</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
MS in Machine Learning, Data Science, Business Analytics, Computer Science, Statistics, or a related quantitative field &mdash; candidates using this role as their entry point into ML engineering are encouraged to apply; OR 2+ years of experience as an ML Engineer or Applied Data Scientist in lieu of an advanced degree</li><li>
Experience at a startup or high-growth technology company where you owned features end-to-end</li><li>
Familiarity with agentic frameworks (LangChain, LangGraph, AutoGen, or similar)</li><li>
Background in music, media, entertainment, or rights/royalties data</li><li>
Experience with ontology design, knowledge graphs, or semantic data modeling</li><li>
Contributions to open-source ML projects or published research</li><li>
Familiarity with AI evaluation practices &mdash; hallucination detection, bias auditing, model explainability</li></ul><p><b>
Pay Scale</b></p><ul><li>
$160,000 - $200,000 per year</li><li>
The final compensation within this range will be determined based on the candidate&rsquo;s experience, skills, and overall fit for the role.</li></ul><p></p><p><b><br>
Fair Chance Policy</b></p><p>
In accordance with the Los Angeles County Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories. We evaluate candidates based on their qualifications and the nature of the offense in relation to the job for which they are applying.</p></div><p></p>

Machine Learning Engineer

Data Scientist, Product Analytics

Tiger Analytics

<div><p>Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
</p><p>We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in Data Science modelling, within the CPG domain. The ideal candidate will have a proven track record of designing, developing, and deploying scalable forecasting solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.</p><p><b>
Responsibilities:</b></p><br>
<ul><li>
Work on the latest applications of data science to solve business problems</li><li>
Work directly with client stakeholders to translate business problems into high level analytics solution designs</li><li>
Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value</li><li>
Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably</li><li>
Responsible for managing analytics projects, collaborating with client stakeholders and Tiger&rsquo;s team situated globally
</li><li>Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights</li><li>
Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
8 - 13 years of professional work experience with at least 5 years in Data Science</li><li>
Ability to engage with executive/VP-level stakeholders from client&rsquo;s team to translate business problems to high level analytics solution approach</li><li>
Solid understanding of statistical and machine learning algorithms</li><li>
Strong project management and team management skills and ability to work with global teams</li><li>
Strong SQL skills and hands-on experience with analytic tools like R &amp; Python
</li><li>Exposure to cloud platforms and big data systems such as Hadoop, HDFS, Hive is a plus</li><li>
Experience working with CPG Domain companies.</li><li>
Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes</li><li>
Bachelor's in Business Analytics or equivalent work experience.</li></ul><br>
<b>
Benefits</b><p><br>
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.</p></div>

Lead Data Scientist(CPG)- Data Science

Tinder

<div>
 <p>
  <strong>
   Our Mission
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   As humans, there are few things more exciting than meeting someone new. At Tinder, we&rsquo;re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive&mdash;and rapidly growing.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Program Duration
  </strong>
 </p>
 <p>
  <span>
   The internship program will run from June 1 through August 28, 2026.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Where you&rsquo;ll work
  </strong>
 </p>
 <p>
  <span>
   This is a hybrid role that requires in-office collaboration three days per week in Los Angeles.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  <span>
   As a Data Scientist Intern at Tinder, you&rsquo;ll help us uncover insights from one of the world&rsquo;s largest datasets to enhance user experience, strengthen safety, and drive innovation across our platform. You&rsquo;ll work alongside talented engineers, data scientists, and product teams to solve real-world problems using data-driven approaches that shape the future of how people connect.
  </span>
 </p>
 <p>
  <p>
   <br/>
  </p>
  <strong>
   What you'll do:
  </strong>
  <li>
   Explore and analyze large-scale datasets to identify patterns, trends, and opportunities
  </li>
  <li>
   Develop and evaluate machine learning models and/or LLMs that improve user experience and engagement
  </li>
  <li>
   Design and execute A/B experiments to measure the impact of product features and algorithmic changes
  </li>
  <li>
   Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies
  </li>
  <li>
   Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos
  </li>
  <li>
   Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements
  </li>
  <li>
   Participate in improving the team&rsquo;s tools and techniques for experiment reads, focusing on standardization, automation, and clear documentation
  </li>
  <p>
   <br/>
  </p>
  <strong>
   What we're looking for:
  </strong>
  <li>
   Passion for using data and experimentation to solve complex problems
  </li>
  <li>
   Intermediate to advanced SQL skills for data querying and analysis
  </li>
  <li>
   Familiarity with / building to proficiency in Python
  </li>
  <li>
   Strong foundation in statistics, probability, and machine learning fundamentals
  </li>
  <li>
   Understanding of data structures and algorithms
  </li>
  <li>
   Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field
  </li>
 </p>
 <p>
  <br/>
 </p>
 <br/>
 <p>
  <span>
   Commitment to Inclusion
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   At Tinder, we don&rsquo;t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don&rsquo;t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:&nbsp;
  </span>
  <span>
   https://www.lifeattinder.com/dei
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   #Tinder
  </em>
 </p>
 <br/>
 <br/>
 <span>
  The compensation range listed above is representative of the hourly rate offered.
  <br/>
 </span>
 <em>
  Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting.
 </em>
</div>


Data Scientist Intern

University of California Los Angeles

<div>Job #JPF10882
<ul><li>Microbiology, Immuno &amp; Molecul / Basic Biomedical Sciences / UCLA</li></ul></div>
<br><div><p>POSITION OVERVIEW</p>
<div><b>Salary range:</b> The posted UC salary scales set the minimum pay determined by rank and step at appointment. See Table 37B. The salary range for this position is $76,700-$89,000.
</div><div><p>APPLICATION WINDOW</p><b>
</b></div><div><p><b>Open date: </b>March 2, 2026
</p></div><div><p><b>Next review date:</b> Wednesday, Apr 1, 2026 at 11:59pm (Pacific Time)<br>
Apply by this date to ensure full consideration by the committee.
</p></div><div><p><b>Final date: </b>Wednesday, Apr 1, 2026 at 11:59pm (Pacific Time)<br>
Applications will continue to be accepted until this date.
</p></div><p>POSITION DESCRIPTION</p>
<div><div><p>ASSISTANT PROJECT SCIENTIST
</p><p>UCLA&rsquo;s Department of Microbiology, Immunology and Molecular Genetics is seeking to fill a full-time Assistant Project Scientist position in the lab of Dr. Melody Li. The full-time (100%) Assistant Project Scientist candidate will carry out research projects that elucidate molecular details of host-virus interactions, with a focus on how viral structural proteins modulate macrophage immunity.
</p><p><b>Specific responsibilities for this position include but are not limited to:</b></p>
<div><ul><li>Identify job duties related to proposed research activities.</li></ul>
<ul><li>Conduct research on the mechanism of host immune antagonism and dysregulation by viral structural proteins, focusing on alphaviruses and coronaviruses.</li></ul>
<ul><li>Take complementary approaches such as molecular biology, biochemistry, transcriptomics, and proteomics to understand host-virus interactions, specifically in the context of innate immune cells such as macrophages.</li></ul>
<ul><li>Guide research projects and maintain detailed records of experimental work.</li></ul>
<ul><li>Train and mentor undergraduate students, rotating graduate students, and other members of the lab on molecular cloning, virological assays, bulk RNA-sequencing, and affinity purification-mass spectrometry.</li></ul>
<ul><li>Assist with preparation of grant proposals.</li></ul>
<ul><li>Prepare manuscripts and complete revision experiments for publication in scientific journals.</li></ul>
</div>
<div><b>Minimum Qualifications:</b><br>
<ul><li>Ph.D. (or equivalent) in microbiology, immunology, molecular biology, or a similar field.</li><li>At least 5-6 years of postdoctoral research experience.</li><li>Publications in peer-reviewed journals.</li><li>Effective oral and written communications skills.</li></ul></div>
<p></p><p>Cultural North Star</p>
<p>The shared values of the DGSOM are expressed in the Cultural North Star, which was developed by members of our community and affirms our unswerving commitment to doing what&rsquo;s right, making things better, and being kind. These are the standards to which we hold ourselves, and one another. Please read more about this important DGSOM program at Cultural North Star.</p>
<p></p><p>Anti-Racism Roadmap</p>
<p>The David Geffen School of Medicine Anti-racism roadmap is our co-created path to ensuring racial justice, equity, diversity and inclusion. We are committed to actively dismantling structural racism in our organization as described in more detail at: Anti-Racism Roadmap.</p>
</div></div>
<p>QUALIFICATIONS</p>
<div><b>Basic qualifications</b>
<div><ul><li>Ph.D. (or equivalent) in microbiology, immunology, molecular biology, or a similar field.</li><li>At least 5-6 years of postdoctoral research experience.</li><li>Publications in peer-reviewed journals.</li><li>Effective oral and written communications skills.</li></ul>
</div>
</div><p>APPLICATION REQUIREMENTS</p>
<div><div><b>Document requirements</b>
<ul><li><div><p>Curriculum Vitae - Your most recently updated C.V.
</p></div></li><li><div><p>Cover Letter (Optional)</p>
</div></li><li><div><p>
Statement of Research (Optional)</p>
</div></li><li><div><p>
UCLA Mission Statement - As the nation's premier public research university, UC's mission is the creation, dissemination, preservation and application of knowledge for the betterment of our global society. We have a particular responsibility to the people of California which we express in the excellence of the education we provide, the impact of the research we do, the comprehensive, life-saving medical services we provide, and the public service mission we are devoted to. The University of California promotes the social mobility of its students, equips them with the tools and experience that furthers their ambitions, and regards their accomplishments across the life span as evidence of the profoundly positive impact of higher education.
</p><p>The UCLA campus has expressed these goals in its strategic plan as follows:
</p><p>Deepen our engagement with Los Angeles
<br>
Expand our reach as a global university
<br>
Enhance our research and creative activities
<br>
Elevate how we teach
<br>
Become a more effective institution
</p><p><b>Prompt for candidates for recruitment:</b>
</p><p>Reflecting on your personal and professional experiences, highlight your past contributions and future commitments to advancing UCLA's mission as embodied in the 2023-28 strategic plan. These accomplishments and ambitions may be discussed in the context of describing your teaching, scholarship, and service
</p></div></li></ul></div><div><div><b>Reference requirements</b></div><div><p>
References are not required at the time of application.</p>
</div></div>
<b>Apply link:</b> https://recruit.apo.ucla.edu/JPF10882
</div>
<div><p><b>Help contact:</b> aouchi@mednet.ucla.edu</p>
</div>
<p>ABOUT UCLA</p>
<div>
<div><p>As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
</p><p>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.</p>
<p>As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.</p>
<ul><li>&ldquo;Misconduct&rdquo; means any violation of the policies or laws governing conduct at the applicant&rsquo;s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.</li>
<li>UC Sexual Violence and Sexual Harassment Policy
</li><li>UC Anti-Discrimination Policy for Employees, Students and Third Parties
</li><li>APM - 035: Affirmative Action and Nondiscrimination in Employment</li>
</ul></div></div><p>JOB LOCATION</p>
<div>Los Angeles, CA</div></div>

Assistant Project Scientist - Melody Li Lab

<div>Job #JPF10884
<ul><li>Biomathematics / David Geffen School Of Medicin / UCLA</li></ul></div>
<br><div><p>POSITION OVERVIEW</p>
<b>Position title:</b> Assistant Project Scientist
<div><b>Salary range:</b> $76,700-$89,000
</div><div><p>APPLICATION WINDOW</p><b>
</b></div><div><p><b>Open date: </b>March 2, 2026
</p></div><div><p><b>Next review date:</b> Wednesday, Apr 1, 2026 at 11:59pm (Pacific Time)<br>
Apply by this date to ensure full consideration by the committee.
</p></div><div><p><b>Final date: </b>Wednesday, Apr 1, 2026 at 11:59pm (Pacific Time)<br>
Applications will continue to be accepted until this date.
</p></div><p>POSITION DESCRIPTION</p>
<div><div><p>Assistant Project Scientist to work in Department of Computational Medicine. Individual will use computational methods to develop next-generation pandemic response tools. Ph.D. degree in mathematics, computer science, genomics, biomathematics, or related field required.</p>
</div></div>
<p>QUALIFICATIONS</p>
<div><b>Basic qualifications</b>
<div><p>Ph.D. degree in mathematics, computer science, genomics, biomathematics, or related field required.</p>
</div>
</div><p>APPLICATION REQUIREMENTS</p>
<div><div><b>Document requirements</b>
<ul><li><div><p>Curriculum Vitae - Your most recently updated C.V.
</p></div></li><li><div><p>Cover Letter</p>
</div></li><li><div><p>
Statement of Research</p>
</div></li><li><div><p>
Reference check authorization release form - Complete and upload the reference check authorization release form
</p></div></li><li><div><p>UCLA Mission Statement - As the nation's premier public research university, UC's mission is the creation, dissemination, preservation and application of knowledge for the betterment of our global society. We have a particular responsibility to the people of California which we express in the excellence of the education we provide, the impact of the research we do, the comprehensive, life-saving medical services we provide, and the public service mission we are devoted to. The University of California promotes the social mobility of its students, equips them with the tools and experience that furthers their ambitions, and regards their accomplishments across the life span as evidence of the profoundly positive impact of higher education.
</p><p>The UCLA campus has expressed these goals in its strategic plan as follows:
</p><p>Deepen our engagement with Los Angeles
<br>
Expand our reach as a global university
<br>
Enhance our research and creative activities
<br>
Elevate how we teach
<br>
Become a more effective institution
</p><p><b>Prompt for candidates for recruitment:</b>
</p><p>Reflecting on your personal and professional experiences, highlight your past contributions and future commitments to advancing UCLA's mission as embodied in the 2023-28 strategic plan. These accomplishments and ambitions may be discussed in the context of describing your teaching, scholarship, and service
</p></div></li><li><div><p>Statement of Teaching (Optional)</p>
</div></li></ul>
</div><div><div><b>Reference requirements</b></div><ul><li>
3-5 required (contact information only)</li></ul><div><p>
Request contact information for 3 references</p>
</div></div>
<b>Apply link:</b> https://recruit.apo.ucla.edu/JPF10884
</div>
<div><p><b>Help contact:</b> mlucas@mednet.ucla.edu</p>
</div>
<p>ABOUT UCLA</p>
<div>
<div><p>As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
</p><p>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.</p>
<p>As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.</p>
<ul><li>&ldquo;Misconduct&rdquo; means any violation of the policies or laws governing conduct at the applicant&rsquo;s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.</li>
<li>UC Sexual Violence and Sexual Harassment Policy
</li><li>UC Anti-Discrimination Policy for Employees, Students and Third Parties
</li><li>APM - 035: Affirmative Action and Nondiscrimination in Employment</li>
</ul></div></div><p>JOB LOCATION</p>
<div>Los Angeles, CA</div></div>

Assistant Project Scientist (VA)

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