⚡ tl;dr

1. In March, 25% of all patients enrolling in clinical trials for depression came from Power. Help us get more promising new treatments into the market.
2. Work directly with a cofounder on a mix of datascience & platform problems. Continue to gobble-up scope as you ship wins.
3. Own a number of key product surface areas (ranking, match, etc) that reliably drive large impact across the business.
4. Join a rapidly growing company (we’ve ~5x’d in the past year) while we’re still just a tight-knit team of ~30.
5. Work with a product team where everyone writes their own queries, and as a result where Data’s role is to provide them leverage (via better infra, models, etc etc).

🧬 Let's accelerate medical innovation

At Power, we're making clinical trials easy to navigate for all patients.

Today, patients look to promising medical research when standard treatments have failed them. Unfortunately, there is no single source of truth that patients can understand and trust. The status quo is a government run website which is written in complex medical jargon that is impossible for most people to navigate.

At the same time, clinical trials are the bottleneck on medical innovation—new medicine takes almost 10 years to test and over 86% of all clinical trials are delayed because they can't find enough patients. This is one of the biggest problems facing the life science industry.

Power is the easiest way for patients to access promising new studies. Thus helping more patients find treatments and speeding up the progress of medical research as we go.

Importantly, the platform really works:

• Our patients collectively schedule over X,000 screening appointments every month.
• Top clinics see a >50% lift across their business.
• Pharma companies with very-difficult to fill trials often see a >70% increase in their recruitment speed.

🏹 The role

We’re looking for someone to come lead-up data at Power. For a long time, we got away without having a data function by ensuring all our PMs were sufficiently technical to do their own analysis.

As a result, many of the models powering our core systems were roughed in by me (Bask, a co-founder), in-between Zoom calls and over weekends. Lately, when I’ve revisited these systems, I’ve often been able to eke out an extra 10%+ lift in some key metric.

The embarrassing reality here is that it shouldn’t be so easy to find wins of this magnitude. Given this, and our burgeoning scale, we’re looking for someone to take over these key surface areas, and generally flex across all domains of data as is required by the business.

You’d report directly to a cofounder, take ownership of our most-impactful decision systems on day one, and continue to gobble-up responsibility as we scale.

🤔 Some of the problems we'll be working on

We don't believe in strict job requirements, but if these problems sound fun and familiar, you're probably well suited for this gig:

1. Determine which patient a site should call first: We’ve just moved from an elastic net logistic regression to a CatBoost model predicting whether a patient will answer the phone. That said, we haven’t done thoughtful feature-level interaction analysis, nor have we started to optimize against the full expected value that a patient will randomize for a trial.
2. Predict how many patients we can enroll per month for new protocols or indications: How can we build a research-and-synthesis pipeline that takes in a protocol + site list, and spits out a feasibility estimate based on a mix of historical performance and published epi data?
3. Determine how we should allocate marketing dollars across geographies: We’ve only recently implemented naive saturation of a) cost per patient as a function of paid spend by geo, and b) site call volume as a function of patients. I haven’t at all started to consider that it’s possible for us to ratchet up our filtering for the most cost-effective clinics.
4. Determine which sites should have the chance to contact a given patient: Once a site gets in touch with a patient, we remove said patient from other sites’ portals. This means that if Site A is way more likely to actually enroll a given patient than Site B, we might want to avoid showing the patient to Site B altogether. We need a model to drive policy here.
5. Improve our internal view of patient eligibility: Today, the systems that tie-break across patient health profile data sources are all manually defined. In time, the prioritization here should be driven by statistical processes.

🎯 About you

• You’ve spent a considerable part of your professional life analyzing data. You’re probably intimately familiar with SQL and either Python or R.
• You’re hungry for a role where the gap between the current state of the systems and what’s possible is wide. You’re excited, not nervous, about making calls about the stack.
• You have have a track-record of driving business impact through both model development & analysis. You’re comfortable working with ML-based approaches.
• You translate technical work into business decisions cleanly. Stakeholders leave your reviews with a clearer view of the world — not a longer reading list.
• You can drive projects independently or in a highly collaborative, x-functional manner. You naturally balance speed, craft, and business goals.

🌟Nice to haves

• You have a personal connection to the space: much of our team has close family or friends who’ve interacted with clinical research from the patient perspective.
• You have a deep familiarity with marketplace businesses, clinical research, or health tech more broadly.
• You’ve led data teams and will be able to help us see around corners.
• You have some other ‘spike’ or unique strength that would round us out! We’re always looking for complementary skills & experiences
• You like to dive into the lit in your personal life — whether it be for sleep, nutrition, supplements, or something else entirely.

🔎 The product

Power is the most patient-friendly marketplace resource for clinical trials.

• Comprehensive: we make it easy to search across every trial in North America so patients never feel like they have blind spots
• Simple: we apply a healthy amount of data engineering and empathy to the reams of unstructured medical data on clinical trials to simplify things for patients that are trying to evaluate potential trials
• Connected: we help patients proactively reach out to the researchers directly and researchers love connecting with motivated patients

✉️ If this sounds like your kind of adventure

We'd love to hear from you.

Email bask@withpower.com

In lieu of a cover letter, tell us about something you've built that you're proud about! Bonus points if it’s a Loom video with a screenshare walking us through the product and code!

Learn more here.

🔎 FAQ

What is the culture like at Power?

Our team rallies around five values: urgency, selflessness, agency, obsession, and “these values will change”. To this last point, prior to our Series A we were focused on ‘pragmatism’ rather than ‘obsession.’

“How do I know if Power is too (early / late)-staged for me?”

While we clearly have product market fit, we’re still much building out large parts of the business. This means that Power is probably too early for you if you’re hoping to primarily follow a script, facilitate an existing process, or look for a series of 5% wins in any given domain.

That said, as we cross 20 people, we’ve reached a point where no one is doing everything anymore. As a result Power is probably too late for you if you don’t have a craft you’re excited to continue to perfect.

Where are you located? What's your approach to remote work?

This role will be located in our SF office. Our San Francisco team is in office 4-5 days a week (Wednesdays are flexible).

Outside of this, we've budgeted for quarterly team off sites over the course of the next year, as we believe work is more fun when you have a deep personal relationship with your colleagues.

What are the requirements? Do I need certain years of experience, or a background in healthcare?

We have no 'formal' experience requirement, but think it's important that our earliest team members are highly autonomous.

Inversely, if you're at a point in your career where active mentorship is very important to you, this role likely isn't a fit for you.

How is the work life balance?

We trust team members to manage their own schedules and believe that taking time off to recharge makes you more productive in the long run.

That said, we’re early enough that everyone’s work makes a big difference on the company’s trajectory. As a result, our team finds hard work fulfilling when we know it will be impactful.

Typically, we check out around 6pm to protect family time and then log-in later to finish anything that was left undone.

How are you funded?

Happy to share specifics but we've raised a large Series A from top investors. We've intentionally raised enough such that we have time to get from our current clear signs of product market fit to sizeable scale.

How does your interview process work?

This depends on the role, but roughly there are two stages. Initially meet with one or two members of your peers, and another with one or both founders. We try to move quickly on decisions so as not to waste anyone’s time.

“Do you have benefits?”

Yes!

“What’s your vacation policy?”

Unlimited. In practice, people tend to take ~1-2 weeks in the summer, and ~1-2 weeks in the winter.