AI Solutions Architect, Clinical & Life Sciences Specialist

PraxisPro; New York (NY); On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Health insurance

401(k)

Flexible PTO

Travel 25%-50%

Job summary

PraxisPro is a seed-stage SaaS startup building conversational AI for life sciences training. We seek a Clinical Solutions specialist who bridges customers and engineering, ensuring clinical accuracy and real value. You’ll validate needs, guide implementation, and help shape the product with regulatory awareness.

Applicants should have strong clinical background and hands-on AI/tech experience. This role is based in the United States with startup pace and a flexible, collaborative environment.

Qualifications

• 4+ years in a customer-facing technical role with clinical credential or 2+ years in clinical life sciences.
• Ability to read technical docs, follow architecture discussions, and reason feasibility with engineering.
• Hands-on experience with REST APIs, SQL/databases, or debugging third-party integrations.
• Baseline in science or medicine with fast ramping into technical tools.
• Interest in AI, models, and prompting for clinical/pharma problems.
• Experience with conversational AI, chatbots, or simulation tech.
• Startup experience or exposure to agile/product development.

Responsibilities

• Talk with clinical teams to understand workflows and how conversational simulation fits into practice.
• Validate feature requests against clinical requirements; translate root problems into specs for engineering.
• Decide whether a customer problem is in-scope for the product or needs a different solution.
• Review content for scientific accuracy; own clinical sign-off for customer releases.
• Guide customers through implementation and configuration of conversational training.
• Collaborate with product, engineering, and marketing on accuracy and messaging.

Skills

REST APIs

SQL / Databases

Debugging integrations

Clinical knowledge

AI / ML interest

Conversational AI experience

Startup / Agile experience

Technical writing / specs

Education

RN/PA/PharmD/MD or clinical life sciences background

Job description

AI Solutions Architect, Clinical & Life Sciences Specialist

PraxisPro is a seed-stage SaaS startup building conversational AI agents to transform training for account specialists and sales representatives in the life sciences industry. Our platform leverages AI to deliver personalized, scalable training experiences that directly impact revenue and expertise in a highly regulated, specialized sector.

Role Summary

We\'re seeking a Clinical Solutions specialist who bridges the gap between our life sciences customers and our engineering team. In this role, you\'ll be the translator and validator.We are looking for someone with strong tech/product instincts and scientific literacy who can understand customer workflows, scientific principles, and regulatory context deeply enough to identify what customers actually need, while possessing the technical judgment to communicate those needs to specialists, assess feasibility, and ensure our conversational AI products deliver clinical accuracy and real value.

Key Responsibilities

Customer Discovery & Problem Validation

• Talk with clinical, market access, and medical teams at customer organizations to understand their workflows and how conversational simulation fits into their practice


• Validate feature requests and bug reports against real clinical requirements. Separate surface-level asks from root problems, and turn the real ones into specs engineering can act on


• Decide whether a customer problem is in-scope for the product or needs a different solution


• Spot patterns across customers that point to product opportunities or systemic issues

Product Quality & Accuracy

• Review product content and functionality for scientific/clinical accuracy, working with customers and domain experts to validate correctness


• Own clinical sign-off and acceptance criteria for customer-facing releases, in partnership with product and engineering.


• Work with clinical advisory reviewers on content that needs specialist review, and help set a review cadence for updating content when clinical guidelines change


• Help define and follow escalation paths and severity guidelines for clinical-accuracy issues (for example, a confirmed clinical-accuracy bug gets triaged within [X] business hours), and participate in root-cause analysis


• Recognize and elevate any safety-relevant content appropriately

Customer Success & Implementation

• Guide customers through implementation and configuration


• Advise on best practices for deploying conversational training in clinical settings


• Support sales with technical and domain answers during demos and evaluations


• Feed implementation learnings back into roadmap priorities

Cross-Functional Collaboration

• Partner with product management on feature priorities and roadmap decisions


• Work with engineering on sprint planning, design reviews, and UAT for clinical features


• Help marketing keep messaging clinically accurate


• Tell the rest of the team what you\'re learning about regulatory and clinical requirements

Required Qualifications

• 4+ years in a customer-facing technical role (solutions specialisting, technical PM, implementation specialisting, or similar), along with a current or prior clinical credential (RN, PA, PharmD, MD, etc.) or 2+ years in a clinical/life sciences role, plus a demonstrated ability to pick up technical tools fast


• Can read technical documentation, follow architecture discussions, and reason about feasibility with engineering team


• Hands-on experience with at least one of: REST APIs, SQL/databases, or debugging third-party integrations (or a clear track record of picking up technical tools quickly, if coming from a clinical background)


• A baseline in science or medicine: coursework, clinical work experience, or a comparable technical domain you ramped into quickly (tell us about it)


• Real interest in AI, models, and prompting, and how they can be applied to real clinical and pharma problems


• Experience with conversational AI, chatbots, or simulation technology


• Startup experience, or exposure to agile/product development

Core Competencies

• Problem-solving: finds root causes, separates correlation from causation, asks clarifying questions when requirements are vague


• Communication: translates fluently between clinical/scientific and technical audiences; writes specs and bug reports that hold up through an engineering handoff without rework


• Judgment: knows when to push back on requirements and which features actually matter


• Curiosity: about both medicine and technology. You want to understand how conversational AI, models, and prompting actually work, not just what they do for customers


• Comfort with ambiguity: this is an early-stage company, and boundaries aren\'t always defined

Compensation, Benefits & Additional Notes

• Salary Range: $150,000 - $180,000 (based on experience and background)


• Equity: Competitive startup equity package


• Health insurance, 401(k), and other standard benefits


• Flexible PTO


• Travel–25%-50%

Regulated Data & Compliance Training

• This role involves working with regulated data and healthcare-related information. Successful candidates will be required to complete HIPAA and life sciences compliance training, and will be expected to maintain compliance with all applicable regulations governing protected health information and regulated content.


• A background check is required for this position as part of our standard hiring process.


• We are not able to sponsor visas at this time. Candidates must be authorized to work in the United States.


• We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other legally protected characteristic.

Reasonable Accommodations

• We are committed to providing reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to participate in the application or interview process, please let us know.