Onsite
Forus is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:
Exponential organic growth: We have product-market fit and are growing rapidly. Forus supports thousands of new patients every day, is spreading with doctors through word-of-mouth, and works with the largest biopharma companies in the world.
An AI-first business model: Our approach is distinctly enabled by AI, but our business gets stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that compound over time.
Top tier investors: With the traction to support conviction in our model, we raised significant funding from top investors (Thrive Capital, General Catalyst, and Accel) to build an exceptional team of engineers and operators.
Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.
All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.
As a Data & Analytics Engineer at Forus, you’ll build the data foundation that powers how we operate, measure, and grow. You’ll design and maintain our core data models, pipelines, and reporting infrastructure — ensuring the right people have access to clean, trustworthy, decision-grade data at the speed we need to move. This is a cross-functional, impact-heavy role where you’ll work closely with product, ops, growth, and leadership to build the systems that enable better, faster decisions across the company.
You’ll also help define our data & analytics engineering practices: how we structure metrics, review code, manage pipelines, and build for scale. Your work will directly support everything from product usage visibility to operational performance to life sciences client reporting.
This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Forus' success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.
Build and maintain the core data models that serve as the foundation for internal analytics and client-facing insights
Design and operate the data pipelines that transform raw sources into clean, analytics-ready tables
Create dashboards and reporting tools that drive performance visibility and decision-making across product, ops, and GTM
Define and enforce metric consistency across teams — including core business KPIs and product usage definitions
Help improve and scale our analytics stack (we use GCP BigQuery and Dataform, Fivetran, Postgres, and dashboarding tools)
Collaborate with stakeholders across teams to understand data needs and translate them into reliable systems
Contribute to internal data culture through documentation, education, and code quality standards
3–6 years of experience in data engineering, analytics engineering, or a technical data analyst role with production ownership
Expert-level SQL and comfort working in a code-first environment (versioning, testing, documentation)
Experience designing data models that balance usability, performance, and long-term maintainability
Familiarity with the modern data stack — dbt, Fivetran, Airflow, GCP/AWS/Snowflake, Metabase (or equivalents)
Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships
Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals
High NPS with your former teammates
This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.
Forus is based in New York, with our full team working out of a beautiful and spacious office in SoHo.
We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:
Do the math. Be rigorous, assume nothing. Break problems down and reason from the ground up.
Expand the solution space. Be resourceful and audacious. Resist false constraints and push beyond the obvious before committing.
Spit it out. Speak directly, invite critique, avoid equivocation. We want right answers, not comfortable ones.
Raise the bar together. Hold a high standard for execution, push each other directly, and win as a team.
We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.
We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):
Fully covered medical, vision, and dental insurance.
Memberships for One Medical, Talkspace, Teladoc, and Kindbody.
Unlimited paid time off (PTO) and 16 weeks of parental leave.
401K plan setup, FSA option, commuter benefits, and DashPass.
Lunch at the office every day and Dinner at the office after 7 pm.
Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Forus (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity.
Forus is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
Want to know if this job is worth applying to?