Why you should join us 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.
About
the role As a Data Scientist on our team, you will not only define and predict our company’s core metrics, you will drive them. This is a role of immense range, stretching from developing advanced analytical models to owning end-to-end strategic project implementation. Your work will be hyper cross-functional, sometimes driving forward technical projects in partnership with an engineer, other times leading an operations workstream. You will also engage directly with Fortune 100 customers to understand their needs and present on Forus' performance and relevant insights. 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. If you join, you will: Drive strategic projects that require deep data analysis, with accountability for end-to-end execution and business outcomes – this may include: Sourcing and using industry and market data to shape Forus' go-to-market and growth strategy Leveraging our internal workflow data to predict operational throughput and bottlenecks and prioritize new workflow automations as we scale Prototyping new modeling approaches to AI problems (e.g., outcome prediction and optimization for insurance-related processes) in collaboration with our Engineering team Building out a unified user interaction model to define Forus' consumer and provider product roadmaps Create and rapidly iterate on externally facing data products for Forus' key partners and actively participate in priority client engagements Establish Forus' core data sources and metrics to empower everyone on
the team to answer complex questions about Forus' business in real-time Work directly with our CEO and leadership team as a critical partner in making business decisions as we balance speed of growth and long-term profitability We’re looking for you if you have: Able to bring clarity to ambiguous problems and lead projects with major strategic/business impact, collaborating across teams and levels to drive sound decisions. An advanced degree in a quantitative field or 4+ years of work experience in an analytics-heavy, business-focused role Strong technical background with exceptional ability to do data analysis using SQL and Python, as well as pick up new tools on the fly Comfort with zooming in and out of problems, jumping between high-level thinking and granular methods of problem-solving 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. Working with us 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.
