5-7 years of experience in commercial life sciences, with an understanding of pharma/biotech team operations.
Proficiency in AI tools and model output evaluation, comfortable with agentic systems.
Background in data science or data engineering, either through formal education or hands-on experience.
Strong analytical skills to critically assess data interpretations and extract actionable insights.
Experience working with healthcare claims data or ability to quickly adapt to new datasets.
Excellent interpersonal skills, particularly in client-facing interactions.
Responsibilities
Own full delivery for client accounts from scoping questions to insight delivery.
Manage the proprietary system, directing its use and integrating new datasets into analyses.
Quickly gain familiarity with various healthcare datasets, including claims data.
Interpret and critique SQL queries and their results effectively.
Identify nuances in healthcare data to distinguish genuine signals from artifacts.
Connect client commercial strategies with technical data insights seamlessly.
Lead by example in delivery quality, mentoring junior ASPs and preparing for future leadership roles.
Benefits
Full medical, dental, and vision coverage.
Flexible hybrid work environment based in NJ/NYC, with remote working options available.
Full Job Description
The Role
As Lead Account Strategy Partner (ASP), you own client delivery as our most senior ASP - running your own portfolio of accounts and setting the standard the rest of the team works to.
ASPs are the bridge between a client's commercial life sciences questions and the answers our system can produce. You do this work directly by wielding the system with skill, steering it, interfacing with our engineering team to integrate new datasets, and applying the judgment that turns raw healthcare data into insight a brand or market access team can act on. As the senior voice on a small, growing team, you set the bar for how delivery is done and help the ASPs around you do their best work - with the runway to grow into leading the function as we scale.
This is a hands-on, technical role. You'll be in the weeds: setting up and working through claims and other healthcare datasets, learning about new therapeutic areas, running analyses through our system, and interrogating what comes back. You'll need real comfort with the fundamentals of data science paired with the client instinct to turn a result into something a commercial team can act on.
What You'll Do
Own end-to-end delivery for your accounts: scope the client's question, run the analysis through our system, and deliver insights commercial life sciences stakeholders can act on.
Operate our proprietary agentic system day to day - directing it, integrating new datasets, and pressure-testing its output. The system is built; the skill is using it well and knowing which parts of the output are most pertinent to the client.
Work primarily with healthcare claims data, and quickly build intuition for the other datasets we use - picking up an unfamiliar dataset and understanding its shape and limits fast.
Read, follow, and reason critically about SQL and the results it returns.
Spot and account for the nuances of real-world healthcare data: sparsity, coverage gaps, claims lag, capture rates. Distinguish a genuine signal from a data artifact.
Translate fluidly between client commercial strategy and the technical realities of the data and the system.
As our most senior ASP, set the bar for how delivery is done and help the ASPs around you sharpen their craft - with the runway to grow into leading the function as the team scales.
Work directly with the founders and influence future product roadmap.
What We're Looking For
Required
Commercial life sciences fluency from day one - you understand how pharma/biotech commercial teams operate (market access, brand strategy, commercial analytics, patient journey, HCP targeting, etc.).
LLM-native: genuinely comfortable working with AI and agentic tools - prompting, steering, and evaluating model output is second nature.
A data science or data engineering background (either in training / in practice)
A sharp, analytical mind that interrogates data and outputs rather than taking them at face value.
Comfort with healthcare claims data, or the demonstrated ability to ramp on a new dataset very quickly.
Comfort in a client-facing role, with strong people skills.
2+ years of relevant industry experience.
Nice to Have
Prior client-facing, consulting, or forward-deployed experience.
