Finance & Data Analytics Intern at 10x Genomics

Pleasanton, California, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Apr, 26

Salary

40.0

Posted On

10 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Pipeline Engineering, Process Automation, Financial Modeling, Dashboards, Applied Statistics, Machine Learning, Communication Skills, Git, LLM Prompt Engineering, Business Acumen, Analytical Rigor, High Agency

Industry

Biotechnology Research

Description

At 10x Genomics, everything we do is driven by our mission: to accelerate the mastery of biology to advance human health. We provide the scientific community with technologies of the highest caliber that enable experimentation at fundamental single-cell resolutions and massive scale. Our tools are cited in more than 10,000 research papers, ultimately transforming how science understands, treats, and eradicates disease. The Strategic Finance & Analytics team sits at the intersection of business strategy and data science, supporting executive decision-making through actionable data-driven insights. The team takes pride in the operational excellence of the Finance organization, and continuously seeks to improve the efficiency and efficacy of core business processes and systems. We are currently undertaking a transformation to modernize our data stack--moving from legacy manual processes to automated, AI-ready pipelines. We are looking for someone who will leverage their technical ability to make an outsized impact on business strategy. You might be a CS major interested in how businesses work, or a Finance major who taught themselves to code because Excel wasn't enough. You should be able to discuss a project, GitHub repo, or tool you built that solved a specific problem. We don't expect you to know everything on day one, but we expect you to be a first-principles thinker who can take a vague objective, figure out the solution, and ship code that works. What you will be doing: Data Pipeline Engineering: Write clean, scalable Python and SQL to move data out of fragile local files, transform it into structured, well-documented datasets, and automate ingestion into Snowflake. Process Automation: Identify high-friction manual Finance workflows and automate the end-to-end process to reduce cycle time, error rates, and reliance on one-off spreadsheets. Financial Modeling: Support revenue and cash flow forecasting, shifting models toward spreadsheet-based assumptions backed by robust, automated data pipelines. Dashboards & Insights: Build elegant, automated dashboards that make key company metrics self-serve and consistent across the organization. To be successful you will need: Educational Background: Pursuing a degree in Computer Science, Engineering, Math, Economics, or Finance. Candidates in their junior or senior year preferred. Technical Proficiency: Strong ability in Python is required. Experience with SQL, version control (Git), and LLM prompt engineering is highly preferred, but aptitude to learn quickly is acceptable. Business Acumen: You should understand intuitively how a business makes money and be eager to learn the mechanics of financial statements. High Agency: You thrive with minimal supervision. When you hit a roadblock, you Google it, read the documentation, and find a way through. Analytical Rigor: Experience with applied statistics or machine learning (regression analysis, time series, supervised and unsupervised models) is a strong plus. Communication Skills: Outstanding communication and interpersonal skills, with the ability to present technical data to senior management and non-technical audiences. Below is the base pay range for this full-time position. The actual base pay will depend on several factors unique to each candidate, including one's skills, qualifications, and experience. At 10x, base pay is also just one component of the Company's total compensation package. This role is also eligible for 10x's equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program. During the hiring process, your 10x recruiter can share more about the Company's total compensation package. Pay Range $23--$40 USD About 10x Genomics At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world. We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience. Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference. Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law. 10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.

Responsibilities

The intern will focus on data pipeline engineering, process automation, financial modeling, and building dashboards. They will leverage technical skills to improve business strategy and operational efficiency.