Solutions Analyst (Medtech)

TL;DR

Solutions Analyst (Medtech): Supporting strategic engagements with Life Sciences partners, using technical skills to scope customer analysis requests and produce studies using SQL, R, and Python. Focus on solving consequential problems in healthcare using EHR data and collaborating with customers to achieve their goals.

Location: Seattle, WA. In person attendance is required for two weeks during the year for hirify.global Planning Week. Optimize meeting hours in the pacific time zone. Ad hoc meetings occur between 8am-6pm Pacific time.

Salary: $94,000 to $145,000

Company

hirify.global is the world’s first health provider led data platform with a vision of Saving Lives with Data.

What you will do

• Use technical skills to scope out customer analyses requests, produce studies and results using SQL, R and Python within an agreed upon deadline.
• Collaborate with life sciences customers on analyses, helping them produce peer-reviewed publications.
• Communicate on the status of various projects and collaborate with success managers to ensure that hirify.global clients can be successful with the platform.
• Work with customers to achieve their goals, teaching them how to wrangle and analyze data using SQL, R and Python on RWD to address their empirical questions.
• Write regex queries using Databricks SQL to extract clinical concepts from clinical notes per customer request.
• Deliver feedback to internal teams based on customer requests to inform hirify.global’s product roadmap.

Requirements

• Undergraduate or graduate level educational in clinical research, data analysis, clinical informatics or related field.
• Experience is working with large database consisting of millions of patients' data.
• 3+ years of experience wrangling and analyzing Electronic Health Record data or other Real World Data sources in life science companies, CROs, other EHR data companies or healthcare using SQ, R and Python.
• Willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts.
• 2+ year’s experience working with customers to deliver high quality research analyses.
• Must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time.

Nice to have

• Regex query writing experience
• Statistics
• Regression
• Propensity Score Matching
• Kaplan-Meier Analyses
• Survival Analyses
• Spark/PySpark experience

Culture & Benefits

• Interesting and meaningful work for every career stage
• Great benefits package with strong medical, dental and vision insurance plans
• 401K plan
• Professional development & training opportunities for continuous learning
• Work/life autonomy via flexible work hours and flexible paid time off
• Generous parental leave