Associate Data Scientist

Company Intelligence

The company is a confidential healthtech firm posting a remote Associate Data Scientist role via BuiltInNYC, likely an early-stage or stealth startup in New York City's healthtech ecosystem, given the listing's focus on NYC remote opportunities. No public history, size, or specific news is identifiable from available data, which aligns with "confidential" postings common in competitive healthtech sectors where firms avoid early visibility during product development or funding rounds. Healthtech industry trends show strong growth in data-driven solutions, with startups emphasizing AI for clinics (e.g., automating inbound calls missed due to staffing shortages), positioning this company amid rising procedure volumes, regulatory approvals, and MedTech valuations recovering post-2023. Culture details are unavailable due to confidentiality, but healthtech norms prioritize data security (e.g., SOC 2 compliance for privacy/confidentiality controls), mission-driven innovation in patient outcomes, and remote flexibility for NYC-based talent. Remote policy is explicit for this role (New York, NY base), fitting hybrid trends in healthtech where SOC-certified providers ensure secure remote data handling.

Program Deep Dive

No public details on this specific program's structure, timeline, or mentorship due to the confidential posting—typical for entry-level data science roles at stealth healthtech firms targeting 18-25-year-olds with fresh skills. Expect daily responsibilities to include data cleaning, analysis, basic modeling for health metrics (e.g., patient data patterns), and supporting AI-driven insights, with learning via real-world datasets in a fast-paced startup. Core skills sought: Python/R, SQL, statistics, machine learning basics (e.g., regression, clustering), and health data familiarity; healthtech roles value experience with secure data pipelines akin to Palantir Foundry's integration tools used by HHS. Career progression likely leads to full Data Scientist roles, with alumni paths in scaling healthtech (e.g., Y Combinator-funded firms).

Application Success Guide

Requirements: Resume, cover letter tailored to data science in healthtech; likely bachelor's in CS/stats/data science (or equivalent projects); no deadline specified—apply ASAP via https://www.builtinnyc.com/jobs/remote/associate-data-scientist-healthtech as postings close quickly in NYC healthtech. Step-by-step process:

1. Customize resume with quantifiable projects (e.g., "Built ML model predicting patient readmissions, 85% accuracy").
2. Write cover letter linking skills to healthtech impact (e.g., data privacy in HIPAA contexts).
3. Submit via BuiltInNYC link.
4. Expect 1-2 technical interviews + behavioral. Common interview questions: "Explain a data project end-to-end" (technical depth); "How would you handle imbalanced health datasets?" (domain relevance); "Describe A/B testing for a health app feature" (practical application). No confirmed assessments, but prepare for SQL take-homes, Python coding (e.g., pandas manipulation), or case studies on anonymizing patient data. Standout candidates showcase GitHub portfolios with health-related projects (e.g., predictive analytics on public datasets like CDC data) and SOC/HIPAA awareness.

Insider Tips

• Company values technical execution + mission fit: Demonstrate healthtech passion via projects on EHR optimization or AI ethics; they prioritize technical skills (70%) like ML tools over soft skills, but highlight collaboration for remote teams.
• Show industry knowledge: Reference staffing shortages in clinics (30-40% missed calls) and data platforms like Foundry for HHS.
• Questions to ask: "How does the data team collaborate with product on patient privacy features?"; "What datasets will interns access, and how is SOC 2 enforced remotely?"
• Red flags to avoid: Generic applications without healthtech examples; ignoring confidentiality (e.g., sharing proprietary code); weak stats/ML fundamentals.

Practical Information

Salary/stipend: Entry-level Associate Data Scientist in NYC healthtech/remote: $80K-$110K base (full-time equivalent), or $40-$60/hour for internships; negotiate based on experience. Benefits: Standard healthtech package likely includes health insurance, 401k match, remote stipends, unlimited PTO; prioritize SOC 2 firms for data security perks. Duration/start dates: Unspecified—assume 3-12 months, starting Q1 2026 (post-holidays); inquire during interviews. Networking: Leverage BuiltInNYC events, Y Combinator healthtech alumni (145+ startups), LinkedIn searches for "Associate Data Scientist healthtech NYC" to connect with past interns. Build profile by contributing to open health data repos pre-application.