VP of Clinical Solutions

Socket.dev

San Francisco (CA)

On-site

USD 250,000 - 350,000

Full time

4 days ago

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Benefits offered by this job

Meaningful equity participation

100% company‑covered medical, dental,

401k plan with matching

Flexible PTO plus company holidays

Annual company‑wide break December 24–

Commuter benefits

Paid Parental Leave

Job summary

Unlearn is seeking a VP of Clinical Solutions to lead our scientific delivery teams across biostatistics, data science, and ML-driven clinical projects. You will oversee multiple customer engagements, ensure scientific rigor, and align delivery with business growth.

You will partner with executive teams to scale operations, govern analytics standards, and drive measurable outcomes for high-stakes trials while maintaining a strong focus on quality and regulatory expectations.

Qualifications

10+ years leading scientific or analytical delivery in clinical development, with senior leadership experience (Senior Director / VP).
Experience serving biopharma customers in data analytics, biostatistics, data science, or related delivery.
Ability to lead multi-disciplinary technical teams and governance across statistics, data products, and ML.

Responsibilities

Lead Unlearn's scientific delivery organization, ensuring quality, timeliness, and rigor for multiple projects.
Collaborate with Business Development, Product, Engineering, R&D, and Quality Management to shape scopes and unblock delivery.
Serve as a senior scientific voice with customers, building trust and representing Unlearn's science credibility.
Develop technical team leaders through mentorship and career development.
Establish and uphold governance, standards, and quality frameworks for analyses and ML applications.
Own delivery operations at scale: staffing, capacity planning, and prioritization across customer demands.
Report delivery health, capacity, and portfolio risk to leadership and manage commitments.
Build systems and metrics that maintain quality while growing the business.

Skills

Scientific leadership

Delivery leadership

Biostatistics

Data science

ML applications

Cross-functional collaboration

Resource planning

Job description

Our Mission and Vision

Unlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life‑saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.

We are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.

We believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.

About Our Team

We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:

Unlearners are ambitious; we aren’t intimidated by big, challenging goals.
Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.
Unlearners are gritty; we never give up, setbacks just make us try harder.
Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo
Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,
Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.

Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world‑class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.

Your Role

Leading Pharma and Biotech companies trust Unlearn to deliver scientifically rigorous work using digital twins on studies where the stakes are high and the timelines are real. A digital twin of a patient is a comprehensive prediction of expected outcomes under a defined standard of care, made by a machine learning model built using our proprietary technology. That work is done by our scientific delivery teams, with expertise spanning biostatistics, data science, clinical science, and machine learning. As the VP of Clinical Solutions, you will lead an organization of scientists and technical leaders across a wide array of active customer projects with different timelines, needs, and opportunities.

This role sits at the intersection of scientific leadership and operational excellence. On one side, you will develop technical teams through hands‑on people leadership, technical governance, and deep domain judgment about what rigorous clinical and scientific delivery work looks like. On the other, you will keep delivery on track across a growing portfolio, resourcing projects effectively as we scale, and partnering across functions to solve problems before they reach customers.

You will report to the COO and be responsible for meeting business goals in Delivery that ensures that Unlearn increases its leadership and reputation as a best‑in‑class innovator and scientific partner.

Responsibilities

Lead Unlearn's scientific delivery organization and own the quality, timeliness, and scientific rigor of customer‑facing delivery work across a portfolio of concurrent projects.
Partner closely with Business Development, Product, Engineering, R&D, and Quality Management to shape scopes of work, resolve cross‑functional blockers, feed delivery learnings back into the product, and ensure what we sell is what we can deliver excellently.
Serve as a senior scientific voice with customers: stepping into escalations, building trust with sponsor teams, and representing the credibility of Unlearn's science in clinical development settings.
Develop technical team leaders through direct people leadership, mentorship, and career development.
Establish and uphold technical governance: standards, review practices, and quality frameworks that ensure our statistical analyses, data products, and ML applications meet the bar our customers and regulators expect.
Own delivery operations at scale: project staffing and resourcing, capacity planning, prioritization across competing customer demands, and delivery processes that keep a growing portfolio on track without burning out the team.
Report regularly to company leadership on delivery health, capacity, and portfolio risk; manage the growth of delivery commitments so that we scale ambitiously without over‑committing resources, and elevate risks early and transparently.
Build the systems, metrics, and delivery models that maintain quality while we continue to grow.

Requirements

10+ years leading scientific or analytical delivery work in clinical development, with significant experience operating at the Senior Director or VP level with responsibility for multi‑disciplinary technical teams.
A track record of leading data analytics, biostatistics, data science, or related delivery organizations serving biopharma customers—for example at real‑world data (RWD) companies, CROs, or analytics‑driven clinical development partners. Direct ML delivery experience is a plus, but deep respect for and fluency with quantitative methods is essential.
Demonstrated scientific leadership: you have grown individual contributors into technical leaders, and you can provide credible technical guidance and governance across biostatistics, data science, and ML without needing to be the deepest expert in each.
Strong operational skills: you have kept complex, concurrent customer delivery portfolios on track, resourced projects effectively under real constraints, and scaled delivery teams and processes as demand grew.
Domain knowledge of clinical development: study designs, clinical data, sponsor expectations, and the regulatory and evidentiary standards that govern our customers' decisions.
Experience reporting to executive leadership on delivery capacity, growth, and risk: you manage commitments realistically, say no when the math doesn't work, and surface problems early rather than letting them compound.
Comfort operating cross‑functionally with Business Development, Product, Engineering, R&D, Quality Management, and customer stakeholders, and translating fluidly between technical and non‑technical audiences.
Experience in growth‑stage or early‑stage companies to build a stronger delivery model while running it.

Benefits & Perks

The following benefits and perks are for full time roles only.