growth data science analyst Jobs in San Francisco

growth data science analyst

senior data scientist, risk & fraud Jobs in San Francisco

senior data scientist, risk & fraud

sr data engineer

data scientist

Block

<div><div><p>Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams &mdash; People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more &mdash; provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.</p>
<p><b>
The Role</b></p>
<p>
The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. In this role, you'll be embedded in the Risk &amp; Fraud organization and work closely with machine learning, product management as well as other cross-functional partners to drive strategy using a variety of data science techniques and own north star metric monitoring. Because our risk and fraud systems play such a critical role to the company and to protecting our users, a sense of urgency and appreciation for how our work impacts the customer experience is absolutely critical for this position.</p>
<p>
Work from anywhere: This role can be performed from any location in the US with the flexibility to work from home</p>
<p><b>
You Will</b></p>
<ul>
<li>Partner directly with the Cash App Risk &amp; Fraud org, working closely with machine learning, operations, engineers, product, legal, and compliance teams</li>
<li>Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders</li>
<li>Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior</li>
<li>Design and analyze A/B experiments to evaluate the impact of changes and optimize our risk actions</li>
<li>Work with engineers to log new, useful data sources to reflect our risk and product features</li>
<li>Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives</li>
<li>Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team</li>
<li>Build and share data visualizations and self-serve dashboards for your partners</li>
<li>Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis</li>
</ul>
<p><b>You Have</b></p>
<ul>
<li>Previous exposure to or interest in areas like risk, fraud, statistical reporting methods, or regulatory data science</li>
<li>A bachelor degree in statistics, data science, or similar STEM field with 6+ years of experience in a relevant role OR</li>
<li>A graduate degree in statistics, data science, or similar STEM field with 4+ years of experience in a relevant role</li>
<li>Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)</li>
<li>Experience with scripting and data analysis programming languages, such as Python or R</li>
<li>Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities</li></ul><br>
<p></p>
<p>
We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.</p>
<p>
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.</p>
<p>
While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.</p><p></p><div><div><div><br>
<p>
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate&rsquo;s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.</p></div><p></p><div><br>
Zone A:</div><div>
$198,000&mdash;$297,000 USD</div></div><div><div>
Zone B:
</div><div>$188,100&mdash;$282,100 USD</div></div><div><div>
Zone C:</div><div>
$178,200&mdash;$267,400 USD</div></div><div><div>
Zone D:</div><div>
$168,300&mdash;$252,500 USD</div></div></div><div><p><b>
Use of AI in Our Hiring Process</b></p>
<p>
We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.</p>
<p>
Contact us at privacy@block.xyz with hiring practice or data usage questions.</p>
<p><i>
Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.</i></p>
<p><i>
Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. </i><b><i>Square</i></b><i> makes commerce and financial services accessible to sellers. </i><b><i>Cash App</i></b><i> is the easy way to spend, send, and store money. </i><b><i>Afterpay</i></b><i> is transforming the way customers manage their spending over time. </i><b><i>TIDAL</i></b><i> is a music platform that empowers artists to thrive as entrepreneurs. </i><b><i>Bitkey</i></b><i> is a simple self-custody wallet built for bitcoin. </i><b><i>Proto</i></b><i> is a suite of bitcoin mining products and services. Together, we&rsquo;re helping build a financial system that is open to everyone.</i></p></div></div></div><p></p>

Senior Data Scientist, Risk & Fraud

Frontapp

<div><div><div><p>Location</p><div>
San Francisco, CA</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Department</p><div>
EPD</div></div><div><p>
Compensation</p><ul><div><p>
Estimated Base Salary $190K &ndash; $230K</p></div></ul><div><div>
Individual compensation packages are based on factors unique to each candidate, including job-related skills, experience, qualifications, work location, training, and market conditions. At Front, we take a market-based approach to pay. In addition to cash compensation (base salary, which may include commissions or overtime pay where applicable), Fronteers are eligible to receive equity in the company. This resource will provide additional information on our location zone designations. If you have questions, please contact a member of our recruiting team for additional information.</div></div></div></div><p></p><div><div><div><div><br>
Front is the leading AI-powered customer service platform built for collaboration. Front brings core support channels into a modern, intuitive workspace where teams can collaborate on requests, automate manual processes, and delight customers across their entire lifecycle. Front&rsquo;s flexible workflows, AI features, and customer intelligence provide the efficiency and insights to keep entire organizations customer-first, every day. More than 9,000 of the most innovative companies worldwide including CultureAmp, HootSuite, and Y Combinator use Front to deliver five-star service at scale.</div><p></p><p>
Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including <b>Built In's 100 Best Midsize Places to Work in SF 2025</b>, <b>Top Places to Work by USA Today 2025</b><b>,</b> <b>Y Combinator's list of Top Companies in 2023</b>, <b>#4 on Fortune&rsquo;s Best Workplaces in the Bay Area&trade;</b> ,<b>Inc. Magazine's 2022 Best Workplaces list</b>, and <b>Forbes Best Startup Employers 2022 List</b>.</p><p>
As a senior member of Front&rsquo;s Core Analytics org, you will build trustworthy, interpretable models and analyses that power executive decisions across Finance and GTM. You will turn revenue, pipeline, product usage, and customer lifecycle data into clear insights and forward&#8209;looking signals, partnering with Finance, RevOps, and leadership to drive retention, unit economics, and efficient growth.</p><p><b>
What will you be doing?</b></p><ul><li><div>
Owning end&#8209;to&#8209;end analytics and modeling for ARR, GRR/NRR, churn and expansion, pipeline health, and forecasting.</div></li><li><div>
Designing contraction/retention diagnostics and customer health scoring with clear business levers.</div></li><li><div>
Building robust data sets and metrics definitions across Snowflake/dbt, ensuring quality and consistency.</div></li><li><div>
Translating exec questions into analyses, KPIs, and narratives that inform targets and pacing.</div></li><li><div>
Partnering with RevOps, Finance, and Product to instrument experiments and revenue initiatives.</div></li><li><div>
Communicating trade&#8209;offs, assumptions, and recommended actions with crisp, decision&#8209;ready storytelling.</div></li></ul><p><b>
What skills and experience do you need?</b></p><ul><li><div>
6+ years in data science or analytics focused on Finance or GTM at a SaaS or B2B company.</div></li><li><div>
Strong SQL and data modeling experience in a modern stack (Snowflake, dbt); proficiency with Python or R.</div></li><li><div>
Deep statistical knowledge, including experimental design, causal inference, time series analysis, hypothesis testing, sampling, and uncertainty quantification.</div></li><li><div>
Expertise with revenue metrics and cohorts: ARR, GRR/NRR, churn, expansion, pricing and packaging impacts.</div></li><li><div>
Proven experience building interpretable predictive models and health scores tied to business actions.</div></li><li><div>
Ability to define metrics rigor, resolve survivorship/definition issues, and ship executive&#8209;grade dashboards.</div></li><li><div>
Excellent communication and stakeholder partnership skills, from ICs to executives.</div></li></ul><p><b>
Front operates on a hybrid model &mdash; we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected.</b></p><p><b>
What we offer</b></p><ul><li><div>
Competitive salary</div></li><li><div>
Equity (we are post-series D &amp; backed by some of the best VCs in the US)</div></li><li><div>
Private health insurance, including plan options at no cost to employees</div></li><li><div>
Paid parental leave</div></li><li><div>
Flexible time off policy</div></li><li><div>
Flexibility to work from home Monday and Friday, unless posted as a fully remote role</div></li><li><div>
Mental health support with Workplace Options</div></li><li><div>
Family planning support with Maven</div></li><li><div>
$100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities</div></li><li><div>
Wellness Days - Fronteers get an additional day off on months with no holidays</div></li><li><div>
Winter Break - Our offices are closed from Christmas to New Year's Day!</div></li></ul><p><i>
Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the </i><i>California Recruiting Privacy Notice </i><i>&amp; </i><i>EU Privacy Notice</i></p></div></div></div></div><p></p>

Senior Data Scientist, Finance & Go‑to‑Market Analytics

Mercor

<div>
 <strong>
  Mercor is hiring experienced Python Engineers
 </strong>
 to support a variety of high-impact research collaborations with leading AI labs. Freelancers will help improve AI systems through work extending coding benchmarks that reflect real-world development across diverse languages and domains.
 <br/>
 <br/>
 This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and validate coding benchmarks in Python by curating issues, solutions, and test suites from real-world repositories
  </li>
  <li>
   Ensure benchmark tasks include comprehensive unit and integration tests for solution verification
  </li>
  <li>
   Maintain consistency and scalability of benchmark task distribution
  </li>
  <li>
   Provide structured feedback on solution quality and clarity
  </li>
  <li>
   Debug, optimize, and document benchmark code for reliability and reproducibility
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideal Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;10 years of experience as a backend software engineer, ML engineer, or applied data scientist
  </li>
  <li>
   Degree in Software Engineering, Computer Science, or a related field
  </li>
  <li>
   Strong proficiency in Python
  </li>
  <li>
   Experience with debugging, testing, and validating code
  </li>
  <li>
   Comfortable with technical writing and attention to detail
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Project Timeline
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Start Date: Immediate
  </li>
  <li>
   Duration: 1 month
  </li>
  <li>
   Commitment: Part-time (15&ndash;20 hours/week)
  </li>
  <li>
   Schedule: Fully remote and asynchronous &ndash; flexible working hours
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation &amp; Contract
 </strong>
 <br/>
 <br/>
 <ul>
  <li>
   $80 per hour plus lucrative bonus per approved task (1 task takes approximately 1 hour to complete)
  </li>
  <ul>
   <li>
    Median average pay inclusive of bonuses is $200/hr
    <br/>
   </li>
  </ul>
  <li>
   Independent contractor
  </li>
  <li>
   Daily payment via Stripe Connect
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Application &amp; Onboarding Process
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Upload your resume
  </li>
  <li>
   AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role
  </li>
  <li>
   Brief assessment testing real-world coding ability, technical depth, and debugging approach
  </li>
  <li>
   Follow-up communication within a few days with next steps and onboarding details
  </li>
  <li>
   About Mercor **Mercor is a San Francisco-based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D&rsquo;Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across engineering, research, and creative fields have partnered with Mercor on frontier projects shaping the future of AI.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Apply today and leverage your software engineering expertise to help build the future of AI-driven systems!
 </strong>
</div>


Backend Software Engineer: Python

Uber

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As a Science Manager for Uber Eats (UE) Search, you will play a pivotal role in shaping the future of search experiences within the UE platform. Partnering closely with Engineering and Product leadership, you will drive the strategic vision and execution of search-related product development.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ensure robust data governance for event logging and metric generation, maintaining accuracy, consistency, and reliability.
  </li>
  <li>
   Develop and execute robust experimental designs and insightful analyses to shape the product strategy, proactively identifying and mitigating potential challenges.
  </li>
  <li>
   Develop and implement cutting-edge machine learning, statistical, and analytical solutions to enhance search relevance, ranking, and overall user experience.
  </li>
  <li>
   Leverage data-driven insights and algorithmic expertise to guide the team's direction and balance short-term execution with long-term innovation.
  </li>
  <li>
   Lead a team of highly skilled scientists, providing mentorship, feedback, and career growth opportunities to foster technical excellence and impact.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What You'll Do
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Lead a team of Scientists
  </li>
  <li>
   Actively participate and contribute in the end-to-end process of experimental design, execution, and analysis
  </li>
  <li>
   Work closely with Engineering and Product leads to develop technical vision and drive the team direction through identifying opportunities and building data-driven solutions.
  </li>
  <li>
   Propose and guide framework of data analysis and experiments to drive business insight and facilitate decisions.
  </li>
  <li>
   Collaborate closely with Engineering and Product teams to productionize models, enhance data observability and metrics with dashboards, and conduct experiments and in-depth analysis.
  </li>
  <li>
   Communicate with leadership and cross-functional teams, including presentation of the Science team's work on models, solutions, and data analytics findings.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Basic Qualifications
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Ph.D., M.S. or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
  </li>
  <li>
   Minimum 7 years of industry experience as a Scientist or equivalent (5+ years if holding a Ph.D. degree).
  </li>
  <li>
   Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
  </li>
  <li>
   Minimum 1 year of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members
  </li>
  <li>
   Experience with tools like SQL or R in a production environment.
  </li>
  <li>
   Bias to action and proven track record of getting things done.
  </li>
  <li>
   Proficiency using Python, pySpark at scale with large data sets.
  </li>
  <li>
   Experienced in partnering with cross-functional stakeholders to execute decisions.
  </li>
  <li>
   Experience in tech or marketplace industries.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Preferred Qualifications
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   PhD or equivalent in Computer Science, Engineering, Mathematics or other quantitative fields.
  </li>
  <li>
   9+ years of industry experience as an (Applied / Data) Scientist or equivalent (7+ years if holding a Ph.D. degree).
  </li>
  <li>
   2+ years of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members.
  </li>
  <li>
   Experience in Search and Recommendation domains
   <br/>
   <br/>
  </li>
 </ul>
 For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
</div>


Manager II, Science - Search

Flexton Inc.

<div>
 <p>
  <strong>
   Tittle: Growth Data Science Analyst
  </strong>
 </p>
 <p>
  <strong>
   Location: San Francisco, CA/
  </strong>
  <strong>
   Seattle, WA (Hybrid)
  </strong>
 </p>
 <p>
  <strong>
   6+ Months
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Conduct in-depth analysis from massive amounts of data to extract useful business insights and provide recommendations.
  </li>
  <li>
   Design and build intuitive and actionable dashboards and data visualizations to drive business decisions.
  </li>
  <li>
   Deliver insights and analytics to help stakeholders answer critical questions related to Payments, Retention, and Expansion initiatives.
  </li>
  <li>
   Measure, benchmark, and optimize programs aimed at maximizing product adoption, engagement, expansion, and retention for our customers
   <strong>
    .
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Basic qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelors in a quantitative field (Statistics, Finance, Math, CS, or related).
  </li>
  <li>
   3+ years of experience in data analytics, consulting, or related quantitative role.
  </li>
  <li>
   3+ years of SQL skills with excellent hands-on exposure to creating complex queries across multiple database schemas.
  </li>
  <li>
   2+ years of experience creating data visualization dashboards in Tableau or Qlik.
  </li>
  <li>
   Proven effectiveness working independently or partnering with cross-functional teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Experience in at least one programming language (eg. R, Python, Scala/Spark or Perl etc).
  </li>
  <li>
   Experience setting up experiments and analyzing impact of A/B tests to arrive at conclusive results.
  </li>
  <li>
   Work experience at a B2B company.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If interested please share your resume with me.
 </p>
</div>


Growth Data Science Analyst

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Join the Worldwide Sustainability (WWS) organization where we capitalize on our size, scale, and inventive culture to build a more resilient and sustainable company. WWS manages our social and environmental impacts globally, driving solutions that enable our customers, businesses, and the world around us to become more sustainable.<br>
<br>
Sustainability Science and Innovation is a multi-disciplinary team within the WW Sustainability organization that combines science, analytics, economics, statistics, machine learning, product development, and engineering expertise to identify, evaluate and/or develop new science, technologies, and innovations that aim to address long-term sustainability challenges.<br>
<br>
We are looking for a Sr. Research Scientist to help us develop and drive innovative scientific solutions that will improve the sustainability of materials in our products, packaging, operations, and infrastructure. You will be at the forefront of exploring and resolving complex sustainability issues, bringing innovative ideas to the table, and making meaningful contributions to projects across SSI&rsquo;s portfolio. This role not only demands technical expertise but also a strategic mindset and the agility to adapt to evolving sustainability challenges through self-driven learning and exploration.<br>
<br>
In this role, you will leverage your breadth of expertise in AI models and methodologies and industrial research experience to build scientific tools that inform sustainability strategies related to materials and energy. The successful applicant will lead by example, pioneering science-vetted data-driven approaches, and working collaboratively to implement strategies that align with Amazon&rsquo;s long-term sustainability vision.<br>
<br>
Key job responsibilities<br>
<ul><li>Develop scientific models that help solve complex and ambiguous sustainability problems, and extract strategic learnings from large datasets.</li></ul><br>
<ul><li>Work closely with applied scientists and software engineers to implement your scientific models.</li></ul><br>
<ul><li>Support early-stage strategic sustainability initiatives and effectively learn from, collaborate with, and influence stakeholders to scale-up high-value initiatives.</li></ul><br>
<ul><li>Support research and development of cross-cutting technologies for industrial decarbonization, including building the data foundation and analytics for new AI models.</li></ul><br>
<ul><li>Drive innovation in key focus areas including packaging materials, building materials, and alternative fuels.</li></ul><br>
About the team<br>
Diverse Experiences:<br>
World Wide Sustainability (WWS) values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Inclusive Team Culture:<br>
It&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth:<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Work/Life Balance:<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience</li><li>PhD, or Master's degree and 5+ years of quantitative field research experience</li><li>Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.</li><li>Experience communicating qualitative research methods and findings to non-qualitative researchers</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience converting research studies into tangible real-world changes</li><li>Experience with discrete and continuous optimization methodologies and algorithms</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Research Scientist III, WW Sustainability

University of California - San Francisco

<p></p><div><div><div><div>The Division of HIV, Infectious Diseases and Global Medicine at Zuckerberg San Francisco General Hospital (ZSFG) is an internationally recognized global leader in HIV clinical care, research and education and has grown to encompass a network of specialty clinics, multiple research and clinical trials, an infectious diseases/HIV education program, an international research program in East Africa and a vibrant community forum for clinicians and researchers.<br>
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Dr. Lee&rsquo;s research group (https://sulggileelab.ucsf.edu/), housed within the division, focuses on clinical and translational research, and in particular, observational cohort and clinical trial studies that focus on infectious diseases, such as HIV and SARS-CoV-2. The Bioinformatics Programmer 3 will work closely with the Principal Investigator and Study Investigators in running the computational aspects of Dr. Lee&rsquo;s research group. They will have the unique opportunity to work directly with project directors and research collaborators to help design and implement data analysis methods to analyze a wide range of multidisciplinary projects. These include host genomewide (e.g., whole genome sequencing, GWAS microarray), single cell sequencing (e.g., 10X scRNA/VDJ/ATAC/antibody), pathogen-specific assays (e.g., HIV reservoir quantification by droplet digital PCR methods, HIV-host integration PCR assays) and applying advanced statistical modeling approaches to these data (e.g., linear and nonlinear mixed effects modeling, causal inference modeling). The incumbent will lead and help design complex analyses applying novel computational methods and managing the research group&rsquo;s server space (e.g., UCSF Wynton HPC cluster), assist in overseeing and mentoring trainees (e.g., postdoctoral fellows, graduate students), and be a major part of bringing the analysis projects to completion.<br>
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The candidate should have a strong background in mathematics, biostatistics, statistical genetics, and bioinformatics. They should have strong interpersonal and communication skills to be able to interact with an interdisciplinary collaborators (clinical and laboratory-based). The candidate should use skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms and systems; identifies and resolves a wide range of issues / software bugs. They should also demonstrate good judgment in selecting methods and techniques for obtaining solutions and operates independently as a leader and team member.<p><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 is $101,300 to $115,000 (Annual 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>Department Description</b></p>
<div>The Division of HIV, Infectious Diseases and Global Medicine at the University of California, San Francisco (UCSF) is an internationally recognized global leader in clinical care, research, and education. With its home-base located at Zuckerberg San Francisco General Hospital and Trauma Center (ZSFG), the Division has been ranked as the top facility in the country for AIDS care since 1983. The Division&rsquo;s work is featured frequently in the media, and it is often visited by numerous international, national, state, and local dignitaries and delegations. The Division consists of approximately 38 faculty members, 14 fellows/postdoctoral scholars and 170 academic and staff employees. It is the largest Division of the Department of Medicine (DOM) at ZSFG, with a total expenditure budget of approximately $52 million dollars.</div>
</div><div><p><b>Required Qualifications</b></p>
<div><ul><li>Master&rsquo;s degree in Bioinformatics/ Systems Biology/ Math/ Statistics/ Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience.</li><li>
Advanced skills, and 2-3 years demonstrated experience in the area of bioinformatics, computer science, mathematics, bioinformatics, computational biology, physics, and/or statistical genetics, and associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, Implementation and deployment of HPC or data science or CI applications and tools</li><li>
3 or more years of directly relevant programming experience</li><li>
Thorough knowledge of bioinformatics methods, applications programming, web development and data structures</li><li>
Advanced knowledge of HPC / data science / CI</li><li>
Thorough knowledge of bioinformatics programming design, modification and implementation</li><li>
Understanding of relational databases, web interfaces, and operating systems</li><li>
Strong project management skills. Proven ability to successfully work on multiple concurrent projects</li><li>
Thorough knowledge of modern biology and applicable field of research. Pref</li><li>
Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization</li><li>
Ability to communicate technical information in a clear and concise manner</li><li>
Demonstrated ability to interface with management on a regular basis</li><li>
Self-motivated, and able to work independently or as part of a team. Able to learn quickly and efficiently, able to meet deadlines and complete projects in a timely manner, and prioritize multiple projects to ensure the completion of essential tasks by deadlines and demonstrate problem solving skills</li><li>
Strong demonstrated ability to deliver high quality work with attention to detail and the ability to meet strict deadlines</li><li>
Thorough knowledge of web, application and data security concepts and methods</li><li>
Demonstrated broad experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI</li><li>
Expertise in working with genomic, transcriptomic, and/or immunologic (flow cytometry) data and relevant analytic tools (e.g., PLINK, SKAT, R Seurat package, FlowJo</li><li>
Experience in advanced single cell sequencing and genomewide association data analyses</li><li>
3 or more years of directly relevant programming experience</li><li>
Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators</li><li>
Solid technical understanding and proficiency with programming languages (e.g., R, Python, Perl, MATLAB, C/C++) and SQL</li><li>
Ease with handling large datasets (e.g., &gt;1 terabyte) and working within Linux-based cloud computing clusters</li></ul></div>
</div><div><p><b>Preferred Qualifications</b></p>
<div><ul><li>PhD degree in Bioinformatics/ Systems Biology/ Math/ Statistics/ Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience. Strong preference for those with experience in advanced single cell sequencing and genomewide association data analyses</li><li>
Prior laboratory-based experience and or training in the areas of biology, immunology, or genetics and experience conducting research involving molecular biology, immunology, and genetic sequencing techniques</li><li>
Humanitarian-minded</li><li>
Previous experience working with clinical datasets, especially related to HIV, COVID-19, and other infectious diseases</li><li>
Demonstrated ability to contribute research and technical content to grant proposals and manuscript submissions</li><li>
Excellent writing skills as evidenced by prior research publications</li></ul></div>
</div><div><p><b>About UCSF</b></p>
<div>The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world&rsquo;s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.</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.
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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
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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>Campus</div>
</div><div><p><b>Job Code and Payroll Title</b></p>
<div>009401 BIOINFORMATICS PROGR 3
</div></div><div><p><b>Job Category</b></p>
<div>Professional (Non-Clinical)
</div></div><div><p><b>Bargaining Unit</b></p>
<div>99 - Policy-Covered (No Bargaining Unit)
</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>Zuckerberg San Francisco General (ZSFG)
</div></div><div><p><b>Work Style</b></p>
<div>Flexible</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>M-F; 08:00-17:00 PST; Flexible work model</div></div></div></div><div></div>

Bioinformatics Programmer 3

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