Principal Applied Scientist

Key Skills

Agile methodologies, Biostatistics, Data Analysis, Data science techniques, Effective communication skills, Python Programming, R Programming, SPARK Programming, SQL, Statistics

Job Description

This Opportunity

On the research team you will show researchers how to push the envelope of what is possible with healthcare data. You will collaborate with a world-class team of engineers, scientists, clinicians, and product managers throughout the process.

In this role, you will:

• Apply your scientific knowledge and domain expertise to process/wrangle data, perform and publish analyses, identify problems, devise solutions and construct repeatable methodologies to inform metrics and best practices.
• Conduct and publish applied research with the goal of improving patient outcomes and a commitment to meticulous clinical and scientific rigor.
• Use methods and approaches from experimental design with observational data, data weighting methods, generalized linear models, survival analysis, longitudinal data analysis, time series analysis, and/or spatial data analysis to understand differences in patient outcomes across a wide variety of medical domains.
• Be the voice of the customer and help drive the ideation, technical development, and launch of a research solution that helps clinicians and researchers solve real world problems.
• Establish shared vision of research and build consensus on priorities leading to research and product execution.
• Partner in building the product, presenting the needs and materials from the research domain to both technical and non-technical audiences so that the product can adapt to researchers’ needs.

Key Qualifications

• Doctoral degree in Biostatistics, Statistics, Mathematics, Computer Sciences, Epidemiology, HEOR or related field.
• You are an expert in causal inference for observational data, data weighting methods, generalized linear models/mixed-effects models/hierarchical models, survival analysis, longitudinal data analysis, and/or time series analysis. (Bonus for experience in spatial data analysis)
• You are an expert with 5+ years of hands-on statistical programming experience with R and SQL. (Bonus for experience with Python and Spark)
• 5+ years of experience in a research context developing and executing statistical analysis plans the results of which have been published in academic journal articles, preferably in a health sciences context. (Bonus for experience in the public health domain as a statistician)
• 5+ years of experience working with large, complex/messy, longitudinal real-world data sources, such as EHR, registry, or claims data.
• 3+ years of experience working with remote/cloud computing resources as well as data stored in SQL databases, data warehouses, or other forms of remote storage.
• 3+ years of experience working closely with product/program management and presenting material from the research domain to non-technical audiences.
• 3+ years of experience working in a cross functional team to deliver data science products and research under tight deadlines.
• Strongly self-motivated and self-directed
• Excellent written and verbal communication skills.

Why Truveta?

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.

We Offer:

• Interesting and meaningful work for every career stage
• Great benefits package
• Comprehensive benefits 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
• Regular team activities (virtual and in-person as soon as we are able)
• The base pay for this position is $154,000 to $214,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.