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Remote Genomic Data Analyst Jobs in California (NOW HIRING)

... remote, flexible environment - Collaborate with operators, founders, consultants, analysts, and ... data, or operations is helpful but not required WHY APPLY Career Launch helps candidates build ...

Sr. Portfolio Data Analyst

Los Angeles, CA · On-site +1

$92K - $116K/yr

Description JOB TITLE: Sr. Portfolio Data Analyst LOCATION ... Remote (must be open to occasional business travel to Los Angeles and New York as needed) REPORTS ...

Sr. Lead Data Analyst, Merchant

Los Angeles, CA · On-site +1

$92K - $116K/yr

Remote REPORTS TO: Head of Data The Company Sunbit builds financial technology for real life. Our ... You will own complex analyses across the merchant and loan portfolios, identify growth ...

Remote Pay Range: $60 - $65/hr on W2 Job Summary: We are seeking a Data Analysis Lead to join our team in a remote role, supporting our sales planning and execution from the United States, preferably ...

Showing results 41-60

Remote Genomic Data Analyst information

What is a remote genomic data analyst?

A Remote Genomic Data Analyst is a professional who analyzes and interprets genetic and genomic data, typically working from a location outside a traditional office. They use bioinformatics tools and statistical techniques to process DNA, RNA, or protein sequencing data, supporting scientific research, clinical diagnostics, or pharmaceutical development. Their responsibilities often include data cleaning, quality control, visualization, and reporting of genomic findings. Working remotely, they collaborate with researchers or clinicians using digital communication platforms and may be employed by universities, hospitals, biotech companies, or research institutions.

What are the key skills and qualifications needed to thrive as a remote genomic data analyst?

To thrive as a Remote Genomic Data Analyst, you need a solid background in bioinformatics, statistics, and genomics, typically supported by a degree in biology, computational science, or a related field. Familiarity with tools such as Python, R, command-line interfaces, and genomic databases, as well as experience with platforms like AWS or cloud-based analysis systems, is often required. Strong analytical thinking, attention to detail, and effective remote communication are important soft skills for collaborating across virtual teams and interpreting complex data. These skills and qualities are crucial for accurate data analysis, efficient problem-solving, and successful contribution to research or clinical genomics projects in a remote environment.

What are some common challenges faced by remote genomic data analysts, and how can they be managed?

Remote Genomic Data Analysts often encounter challenges such as managing large-scale genomic datasets, ensuring data privacy, and collaborating effectively with distributed teams. To address these, it’s helpful to be proficient in cloud-based data management tools and maintain strong communication through regular virtual meetings. Staying current with best practices in data security and participating in online forums or collaborative platforms can also help overcome technical and collaboration hurdles.

What are the most commonly searched types of Genomic Data Analyst jobs in California?

The most popular types of Genomic Data Analyst jobs in California are:

What job categories do people searching Remote Genomic Data Analyst jobs in California look for?

The top searched job categories for Remote Genomic Data Analyst jobs in California are:

What cities in California are hiring for Remote Genomic Data Analyst jobs?

Cities in California with the most Remote Genomic Data Analyst job openings:

Infographic showing various Remote Genomic Data Analyst job openings in California as of August 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 100% Remote job distribution.

Sr. Data Analyst (Product Analytics)

Thunkable

San Francisco, CA • On-site, Remote

$90K - $140K/yr

Full-time

Posted 5 days ago


Job description

About Thunkable

Thunkable is the leading no-code and AI platform that empowers anyone to design, develop, and deploy powerful, native mobile applications without writing a single line of code. Our mission is to make app development accessible to everyone—transforming passive consumers into active creators of technology.

Founded in 2016 by Arun Saigal and Weihua Li, former members of the MIT App Inventor and MIT Scratch team, Thunkable now supports millions of users across 184 countries, including a quarter of Fortune 500 companies. We’re backed by Lightspeed, NEA, Owl Ventures, SV Angel, and Y Combinator.


Role Overview

Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team. In this role, you'll turn product and business data into actionable insights that influence product strategy, growth, and customer experience. You'll partner closely with Product, Engineering, Design, Marketing, and Leadership to define success metrics, measure impact, identify opportunities, and support experimentation.

Beyond analysis, you'll help improve the quality and accessibility of our data by working with engineering on event tracking, integrating data from multiple systems, and ensuring our analytics foundation supports better decision-making across the business.


Key Responsibilities
  • Partner with Product, Marketing, and Leadership to identify opportunities, influence product strategy, and drive business decisions through data.

  • Drive end to end product and growth analyses including funnel analysis, cohort analysis, retention, segmentation, monetization, and experimentation.

  • Define success metrics and evaluate the impact of new features, experiments, and product initiatives.

  • Develop dashboards, recurring reports, and self-service analytics to enable data-informed decision making.

  • Collaborate with engineers to design, implement, validate, and maintain product event tracking within React-based interfaces.

  • Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity.

  • Work with data from multiple sources (Amplitude, Google Ads, Meta Ads, payment systems, CRM, etc.) to create a unified view of the business.

  • Document key metrics, tracking plans, and data definitions to improve organizational understanding.


Required Qualifications
  • BA/BS degree or above in a related field or equivalent experience required.

  • 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects.

  • Experience with product analytics, experimentation, funnel analysis, retention, and user behavior analysis.

  • Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations.

  • Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy.

  • Experience in data queries and statistical programming tools (SQL, R, Python, etc.)

  • Experience with product and marketing analytics tools (Amplitude, Google Analytics, etc.)

  • You have strong analytical and problem-solving skills, with a keen attention to detail.

  • You are a good communicator and can explain complex analyses using visualization and storytelling to both technical and non-technical audiences.

  • You are a self-starter who thrives in a start-up environment and has a strong follow-through.


Preferred Qualifications
  • Experience with improving data pipelines, data storage and analytical frameworks.

  • Event tracking (eg. Javascript, Google tag manager)


Life at Thunkable

Thunkable is on a mission to democratize app development and empower everyone to build without writing a single line of code. Our platform enables anyone to build and publish iOS and Android apps for free.

Joining Thunkable means joining a team of passionate, entrepreneurial, and supportive people from diverse backgrounds united by shared values of Creativity, Openness, Transparency, Persistence, and Entrepreneurialism.

What You’ll Get:

  • Competitive compensation, equity, and unlimited PTO

  • Health, wellness, and training budget

  • Global remote flexibility

  • The opportunity to directly influence the future of no-code and AI-driven app development

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.