Applied Research Scientist (Life Science)

TL;DR

Applied Research Scientist (Life Science): Translating research questions into analytical approaches using EHR data for life sciences partners with an accent on real-world evidence generation and methodological rigor. Focus on designing cohort studies, mitigating bias, and delivering scalable statistical analyses to drive clinical insights.

Location: Hybrid / Remote; must be authorized to work in the United States. In-person attendance required at least once per year. Meeting hours are optimized for Pacific Time (PT).

Salary: $130,000 – $160,000

Company

hirify.global is a health provider led data platform dedicated to saving lives by enabling researchers to find cures faster through massive-scale EHR data.

What you will do

• Partner with life sciences customers to translate complex research questions into technical analytical approaches.
• Execute studies and produce high-quality results using SQL, R, and Python on datasets containing 120M+ patients.
• Provide technical analytics support and directly troubleshoot customer analysis, code, and notebooks.
• Guide customers on best practices for real-world evidence (RWE) generation, including study design and bias mitigation.
• Collaborate cross-functionally to investigate data quality and provide feedback for the product roadmap.
• Support the development of peer-reviewed publications and high-quality research outputs.

Requirements

• Authorized to work in the United States (no sponsorship available for F-1 OPT, H1-B, etc.).
• Degree in clinical research, epidemiology, biostatistics, data science, clinical informatics, or a related field.
• 5+ years of experience in a technical customer-facing role delivering research studies and analyses.
• 3+ years of experience wrangling and analyzing Electronic Health Record (EHR) or other Real World Data (RWD) sources.
• Strong proficiency in SQL, R, and/or Python for statistical analysis.
• Experience leveraging distributed computing frameworks to analyze large-scale healthcare datasets.

Nice to have

• Advanced degree (MS, MPH, PhD) in epidemiology, biostatistics, or health economics.
• Experience with Spark/PySpark or distributed data processing.
• Knowledge of advanced statistical methods such as regression, propensity score methods, and survival analysis.
• Proven track record of contributing to peer-reviewed publications or conference abstracts.

Culture & Benefits

• Comprehensive medical, dental, and vision insurance plans.
• 401K plan.
• Work/life autonomy with flexible work hours and flexible paid time off.
• Generous parental leave.
• Professional development and training opportunities for continuous learning.