Lead Account Strategy Partner (Forward-Deployed, Healthcare Data)

Pear

$150K — $180K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years relevant industry experience, preferably in commercial life sciences.
  • Strong understanding of pharma/biotech commercial teams' operations.
  • Proficiency with AI tools and generating model outputs.
  • Background in data science or engineering is crucial.
  • Expertise in healthcare claims data or capability to learn quickly about new datasets.
  • Strong analytical skills, with a critical approach to data interpretation.
  • Excellent interpersonal skills for client-facing interactions.

Responsibilities

  • Own end-to-end account delivery, from scoping to insight generation.
  • Integrate new datasets and operate the proprietary agentic system.
  • Build intuition for various healthcare datasets including claims data.
  • Analyze SQL outputs and critically assess results.
  • Identify and understand the complexities of real-world healthcare data.
  • Translate client needs into actionable technical insights from data.
  • Mentor junior ASPs and help raise team performance standards.

Benefits

  • Full medical, dental, and vision coverage provided.
  • Flexible hybrid working model for NJ/NYC-based candidates.
  • Stock options available as part of compensation.
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.
  • Familiarity with additional healthcare dataset types (EHR/EMR, lab, specialty pharmacy, etc.).
  • Light scripting (e.g., Python).
  • 5+ years of experience.


What We Offer
  • $150-180k base salary + stock options
  • Full medical, dental, and vision coverage
  • Hybrid NJ/NYC with flexibility for remote candidates

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