Senior Data Scientist II

Helix

1d•$139,000 - $186,250•Remote

About The Position

At Helix, our mission is simple: to help everyone improve their lives through their DNA. Ready to make a real-world impact with your skills? At Helix, we're transforming healthcare by making genomics a standard of care. We partner with health systems and life science companies to accelerate the integration of genomic data into clinical practice. Join us in building a future where healthcare is personalized, proactive, and powered by genomics.

Requirements

Master’s Degree or higher in Data Science, Biostatistics, Medical Informatics, Epidemiology, Public Health, or other related scientific discipline
At least 3 years of experience working with US healthcare data in health care plan/services, public health, RWE, research, or a related field
Direct experience using LLMs or agentic tools (Claude Code, Cline, Copilot, etc) in a research or clinical data workflow
Strong healthcare data experience with electronic health records and/or claims data
Experience with common clinical coding standards (ex: ICD, CPT, LOINC, SNOMED-CT)
Understanding of genetic data and knowledge of variant annotation tools and databases
Strong programming skills in Data Analysis and Visualization, SQL, Python, Databases
Strong analytical and problem-solving skills along with business acumen; desire to learn and grow in healthcare industry
Worked with real world data and have a strong understanding of analytics and how it is leveraged within the life sciences industry
Entrepreneurial spirit and willingness to jump into new areas
Knowledge of population health metrics
Excellent communication and storytelling skills with a variety of cross-functional stakeholders

Nice To Haves

Experience working with the OMOP CDM
Experience working with large-scale genomic data
Experience using Airflow, Nextflow, or other workflow orchestration
Experience working in cloud environments
Experience analyzing RWE data at or with life sciences customers

Responsibilities

Analyze data to identify patterns and trends toward improving health and/or financial outcomes, e.g., disease prevalence, risk factors, treatment opportunities, and the effectiveness of health interventions
Develop a portfolio of reports and data insights that communicates the value and opportunity of Helix population health, diagnostic, and research data for life science companies
Develop reusable dashboards, analytical reports, datasets, and analytic integrations, by working with medical affairs, research, product, data science, and commercial teams where required
Evaluate market opportunities by creating and maintaining therapeutic area and service line-specific data models
Leverage real-world patient data spanning engagement, medical history, outcomes, social determinants, and genetics, partner with life sciences to provide focused and effective data-driven narratives
Collaborate across multiple teams including analytics, data engineering, medical affairs, clinical, research, business development, strategy, and product