AI/ML Research Evaluation & Validation Intern

PLEASE READ ALL:
Company Description
Helix is building the intelligence terminal for biopharma capital markets. Our platform helps healthcare hedge funds, pharma business development teams, and advisory firms turn clinical, regulatory, and market data into investment-grade insight. That includes FDA outcome forecasting, catalyst tracking, and molecular-to-market analysis, delivered through a single AI-native terminal.
Our clients make high-stakes decisions on our output, so accuracy isn't a feature for us. It is the product.
Role Description
As our first Research Validation Analyst/Intern, you'll build the system that proves, and improves, how accurate Helix is. You'll test our platform against real-world outcomes, find where it falls short, and turn those findings into fixes and published benchmarks. You'll work directly with the founder, and your work will shape the product, the sales story, and the trust institutional clients place in us.
The Intern will support the assessment and optimization of the AI capabilities and intelligence output of the Helix Terminal in a part-time, remote role. Day-to-day tasks include designing and executing test plans, evaluating layer/model performance against defined metrics, and documenting findings in clear, actionable reports. The intern will collaborate with the CEO to identify issues, validate product features, and recommend improvements to enhance reliability and user experience. Additional responsibilities include preparing internal presentations and supporting the creation of evaluation tools, scripts, and dashboards as needed.
What you'll do
Build a gold-standard test set of historical biopharma events, including FDA approvals, complete response letters, clinical holds, trial readouts, and advisory committee votes.
Backtest Helix's regulatory forecasting against past FDA decisions and measure how well its probabilities match what actually happened.
Stress-test the platform's answers on known catalysts to find factual errors, missed events, stale data, and overconfident reasoning.
Log, categorize, and prioritize failures, and write clear reports that drive product fixes.
Help turn validated results into client-facing proof: accuracy summaries, case studies, and benchmark reports.
Track catalysts in real time and score Helix's calls once outcomes are known.
Compensation
We are able to offer a monthly stipend of $800-$1,000 for the role, with an expected commitment of a minimum of 10 hours per week. Please note that the role will be compensated as for an Indepedent Contractor (Non-Employee).
Qualifications
Bachelor's Degree Required, Advanced Degree Optional
Strong interest in biopharma and life sciences, as well as in business, finance, and investment strategy.
Product-focused skills: Experience or strong interest in working as product specialists or in product evaluation, with the ability to understand AI/ML product features and user needs.
Working knowledge of drug development, meaning clinical trial phases, endpoints, and the FDA approval pathway.
Rigorous and skeptical, the kind of person who checks the primary source instead of trusting a summary.
Strong written communication; you can explain a finding clearly in a few sentences.
Comfort with spreadsheets and structured data.
Analytical skills: Strong analytical skills with the ability to interpret quantitative and qualitative data, assess model performance, and draw evidence-based conclusions.
Communication and collaboration: Clear written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders and collaborate effectively.
Work approach: Detail-oriented, organized, and proactive, with the ability to manage multiple tasks, learn quickly, and take initiative in a fast-paced environment.
Education: Currently pursuing or recently completed an undergraduate or graduate degree in a relevant discipline.
Preferred
Interest in biotech investing, healthcare equities, or regulatory science.
Familiarity with ClinicalTrials.gov, FDA databases, SEC filings, or company press releases.
Experience with Python, SQL, or data analysis.
Prior research lab, consulting, or investment experience.
Curiosity about how AI systems succeed and fail.
(+) Experience at an institutional investment firm, biopharmaceutical company, or in a buy-side analyst role. (optional)
If you have any questions regarding the opportunity, reach out by email to:
param@helixterminal.com

Work arrangement
Yes