San Francisco, California, United States · Hybrid
$165k–$205k/yr
About Haus Haus is the incrementality platform leading brands trust to optimize billions in ad spend worldwide. Using frontier causal inference-based econometric models to run experiments, we help brands measure the busi…
Skills: Python, Pandas, Numpy, Pytest, Poetry
San Francisco, California, United States · On-site
$180k–$220k/yr
About us Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biol…
Skills: Strategic Planning, Executive Communication, Project Management, KPI Review, Board Preparation
San Francisco, California, United States · On-site
$152k–$244k/yr
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and brin…
Skills: Data Modeling, Ontology Engineering, Lakehouse Architecture, Knowledge Graphs, SQL
San Francisco, California, United States · On-site
$180k–$280k/yr
TypeSafe is a frontier model lab. We build reliable and general AI systems to power economically valuable automation. Our mission is to usher in a new era of Transformative Artificial Intelligence (TAI): technology with …
Skills: CUDA, GPU Kernel Optimization, CuTe DSL, Performance Profiling, LLM Training
San Francisco, California, United States · On-site
$90k–$97k/yr
Department/School Name: J. Paul Leonard Library Area of Specialization: Public Services Rank of Appointment: Senior Assistant Librarian J. Paul Leonard Library at San Francisco State University seeks a collaborative, stu…
Skills: Research Assistance, Information Literacy Instruction, Public Services, Outreach and Engagement, Access Services
San Francisco, California, United States · On-site
We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's pos…
Skills: Diffusion Models, Text-to-Video Generation, PyTorch, TensorFlow, Python
San Francisco, California, United States · Hybrid
$38/hr–$85/hr
Job Summary: Contributes to the design, development, and implementation of features and workflows within an online research platform used to conduct and manage clinical and cognitive research studies. Identifies and eval…
Skills: Product Management, Project Management, Requirement Analysis, Product Lifecycle Management, Stakeholder Management
San Francisco, California, United States · On-site
Under the direction of Dr. Jonathan Chou, the Staff Research Associate will provide research assistance and support to his team. Dr. Chou's research focuses on innovative therapies such as antibody drug conjugates (ADCs)…
Skills: R Studio, Python, Single-cell RNA sequencing, Bulk RNA sequencing, Whole-exome sequencing
San Francisco, California, United States · On-site
We are so glad you are interested in joining Sutter Health! Organization: CPMC-California Pacific Med Center Position Overview: Provids expert consultation and support to patient care delivery and department operations w…
Skills: Infection Control, Surveillance, Data Analysis, Epidemiology, Microbiology
San Francisco, California, United States · Hybrid
$75k–$90k/yr
🚀 Why Achira Join a world-class team of scientists, researchers, and entrepreneurs building the future of drug discovery. Partner with leadership to shape how a fast-growing company operates day-to-day. Build and scale …
Skills: Office Management, Workplace Operations, Vendor Management, Budget Management, Event Planning
San Francisco, California, United States · Remote OK
$172k–$262k/yr
Thumbtack helps millions of people confidently care for their homes. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience.…
Skills: SQL, Python, Experimental Design, Causal Inference, Statistical Methods
San Francisco, California, United States · On-site
The Department of Radiology is a 24-hour, seven day a week operation providing imaging services for adult and pediatric inpatients and outpatients. The MR Radiologic Technologist provides technical knowledge and/or coord…
Skills: MRI Operation, Patient Coordination, Data Acquisition, Data Processing, Data Archiving
San Francisco, California, United States · Remote OK
$140k–$200k/yr
We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected step…
Skills: Enterprise Sales, Pipeline Generation, Sales Forecasting, Solution Selling, Negotiation
San Francisco, California, United States · On-site
$180k/yr
As molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry. Latch is building intelligent, high performance agents for biological data analy…
Skills: Proteomics, Python, R, Genomics, Genetics Data Analysis
San Francisco, California, United States · Remote Solely
$42/hr–$47/hr
Who is Cecelia Health? Cecelia Health is a virtual specialty medical practice dedicated to improving cardiometabolic health outcomes across populations. We connect patients living with one or more chronic conditions to a…
Skills: Nutrition Counseling, Weight Management, Medication Management, Remote Patient Monitoring, Motivational Interviewing
San Francisco, California, United States · On-site
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 t…
Skills: Phlebotomy, Clinical Trial Coordination, Data Management, Patient Recruitment, Specimen Collection
San Francisco, California, United States · On-site
$40/hr–$50/hr
About Mariana Minerals Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We’re reimagining the…
Skills: Chemical Process Operation, Chemical Handling, Equipment Installation, Equipment Troubleshooting, CMMS
San Francisco, California, United States · On-site
$60/hr–$79/hr
At UCSF Benioff Children’s Hospital, we recognize the challenges and stress that hospitalization, illness, or injury can bring to patients and their families. Clinical Social Workers play a key role in helping patients a…
Skills: Psychosocial Assessment, Crisis Intervention, Counseling, Therapeutic Interventions, Community Linkage
San Francisco, California, United States · On-site
We are so glad you are interested in joining Sutter Health! Organization: CPMC-California Pacific Med Center Davies Position Overview: Fellowship will entail two concurrent components equally weighted under the supervisi…
Skills: Clinical Psychology, Psychological Assessment, Diagnostic Planning, Evidence-Based Interventions, Psychotherapeutic Modalities
San Francisco, California, United States · Hybrid
$36/hr–$77/hr
Job Summary: Works on research data reporting assignments that are of moderate diversity in scope. Exercises judgment within generally defined practices and policies in selecting methods and techniques for obtaining solu…
Skills: Statistical Analysis, Data Tabulation, Multivariate Analysis, Longitudinal Data Analysis, Data Quality Control
San Francisco, California, United States • Hybrid
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Build and maintain the backend science platform, focusing on data pipelines and statistical estimation libraries. Collaborate with applied scientists to translate research into production-grade code and ensure results flow into the customer-facing application.
Requires 3+ years of experience in production software with strong Python and SQL proficiency. Candidates must have experience with data-intensive applications, cloud-native environments, and the use of AI development tools.
Haus is the incrementality platform leading brands trust to optimize billions in ad spend worldwide. Using frontier causal inference-based econometric models to run experiments, we help brands measure the business impact of marketing, pricing, and promotions with scientific precision. Over $360B is spent annually on paid advertising in the US alone, and the famous quote “half the money I spend on advertising is wasted; the trouble is I don't know which half” still rings true. Haus helps marketers identify which half, and reallocate it to maximize growth.
With a founding team of former product managers, economists, and engineers from Google, Netflix, Meta, and Amazon, we make high-quality decision science, incrementality testing, and causal marketing mix modeling accessible to businesses of all sizes—automating the heavy lifting of experiment design, data processing, and insights generation. Haus works with leading brands like FanDuel, Sonos, and Dr. Squatch, delivering ROI gains as high as 30x.
Haus is well-capitalized and backed by top-tier VCs, including Insight Partners, Baseline Ventures, Haystack, and others. We're honored that Haus has once again been recognized by LinkedIn as a 2025 Top Startup!
You'll build and maintain the platform that powers how the world's leading brands measure the true causal impact of their marketing spend. Our Science Platform runs geo-based experiments across 100+ customers, processes daily analysis pipelines, and delivers statistical results that directly drive budget decisions worth millions of dollars.
This is a backend and platform engineering role. You'll work primarily in Python across a set of tightly integrated repositories: a statistical estimation library, a science orchestration library, and a Metaflow-based job execution system running on Kubernetes. You'll collaborate closely with applied scientists to translate research into production code, and with product engineers to ensure results flow cleanly into the customer-facing application.
You won't be starting from a blank canvas — you'll be joining a production system that serves real customers and shipping improvements that compound. The engineers who thrive here are the ones who can navigate a complex, multi-repo codebase, understand the science well enough to be a productive partner, and ship reliable systems without needing to rewrite everything first.
We're also a team that leans into AI-assisted development as a genuine force multiplier. Our engineers use tools like Claude Code and Cursor to move faster, accelerate exploratory work, and ship features that would have taken weeks in days. We're looking for someone who's excited about this way of working.
Build and evolve the data pipelines that fetch, aggregate, and transform KPI data from BigQuery across multiple geographies and granularities
Extend and maintain the statistical estimation library — implement new estimators, improve standard error methods, and optimize performance for large panel datasets
Improve the Metaflow-based analysis orchestration system that schedules and executes thousands of daily experiment analyses on Kubernetes
Design for reliability: build monitoring, alerting, and self-healing patterns for pipelines that run autonomously every day
Collaborate closely with applied scientists to translate research prototypes into production-grade code with proper testing, error handling, and observability
Work with product engineers to ensure analysis results are published correctly and flow cleanly into the customer-facing API and frontend
Use AI development tools as part of your daily workflow to accelerate delivery and explore solutions
Participate in on-call rotation and own the operational health of the science platform systems
4+ years of experience building and shipping production software systems
Must have strong Python proficiency — you write clean, well-tested Python and are comfortable with the ecosystem (pandas, numpy, pytest, poetry)
Experience with data-intensive applications: you've worked with large datasets, data pipelines, or ETL systems and understand the tradeoffs
Experience with SQL and analytical databases (BigQuery, Snowflake, or similar) — you can write performant queries and understand how warehouse-scale data processing works
Comfort with cloud-native environments (GCP preferred): you understand how to deploy, monitor, and operate services in production
Experience with workflow orchestration frameworks (Metaflow, Airflow, Dagster, Prefect, or similar) is a strong plus
Track record of working effectively with AI development tools (Claude, Cursor, Copilot, or similar) — you've integrated them into your workflow and can articulate how they change the way you build software
Ability to collaborate productively with scientists and researchers — you don't need a PhD, but you should be comfortable reading statistical code, understanding experimental design concepts, and asking good questions
Excellent communication skills — you can explain technical tradeoffs clearly and work effectively across disciplines
Earlier stage startup experience
Familiarity with statistical or scientific computing (scipy, scikit-learn, Bayesian methods) — enough to be a productive partner to scientists
Experience with Kubernetes and containerized workloads
Experience with event-driven architectures (Pub/Sub, message queues)
Experience with experimentation platforms, A/B testing infrastructure, or causal inference systems
Experience working across multiple interconnected repositories with coordinated release cycles
We’re a high-performance, low-ego team operating in a fast-moving environment. We care deeply about our customers and expect everyone to take full ownership of their work — this is a place where high expectations fuel even higher growth.
If you thrive in ambiguity, take pride in raising the bar, and want to work alongside top-tier peers who challenge and support you, you'll find unmatched opportunities here. If you're looking for predictability or rigid structure or you prefer order-taking to go-getting, we’re probably not the right fit — and that’s okay.
We work in small, mission-driven teams that prioritize inclusion, collaboration, and growth over hierarchy or red tape.
Some of our benefits include:
Flexible PTO - take time when you need it!
Equity – Startup environment with part-ownership in our successes
Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best
WFH stipend to support the set up you need to be productive
Events & Offsites – opportunities to connect and celebrate in real life!
Free Lunch – Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle)
New Parent Leave – take time to welcome your newest Hausmate
We value in-person collaboration at Haus and give preference to candidates within commuting distance of our offices in San Francisco, Seattle, and New York City.
Haus is an equal opportunity employer. We make hiring decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.
We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute. Bring your authentic self — we would love to hear from you.
Haus is the causal marketing platform leading brands trust to optimize billions in ad spend worldwide.
Haus is the causal marketing platform leading brands trust to optimize billions in ad spend worldwide. With support from PhD economists, data scientists, and growth experts, Haus’ AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Jones Road Beauty, Dr. Squatch, Sonos, Paramount, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale. Haus was named a LinkedIn Top Startup in 2024 and 2025 and has been featured in outlets like AdExchanger, Axios, Marketing Brew, and The Wall Street Journal.
Offices: San Francisco, CA, US
Based on 1029 listings with disclosed salaries, most science & research jobs in San Francisco, CA pay between $90k–$295k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,437 open science & research positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include UCSF Department of Anesthesia and Perioperative Care, OpenAI, Anthropic, Sutter Health, Astranis Space Technologies, among others. Browse the listings above to see every active employer.
Yes — 582 of the 1437 open science & research positions offer remote or hybrid work (129 remote, 453 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
