Oferta de trabajo: Research Associate

The Johns Hopkins inHealth Precision Medicine Initiative (Hopkins inHealth) is a partnership of John Hopkins University, Medicine, and Applied Physics Laboratory strategic initiative to turn precision medicine into reality, leveraging the partners' multi-disciplinary expertise as well as its best-in-class data analytics infrastructure. The Division of Rheumatology in the Department of Medicine is an inHealth leader. We develop statistical tools to enhance medical care including personalized risk predictions of critical events for patients with rheumatic diseases. We are seeking a research data scientist/biostatistician to improve data wrangling and analysis processes that create, test, and implement data science tools into the discovery and delivery of improved medical services.

Specific duties & responsibilities:

• Collaborate with statisticians and clinicians for research and conduct statistical analyses that address scientific questions.

• Continuously create and integrate state-of-the-art statistical tools and new statistical methodologies into a wrangling and analysis stack for deployment across Rheumatology and ultimately Johns Hopkins Medicine.

• Develop and validate personalized predictive analytics to enhance risk assessment of visualization and analytics tool, Scleroderma Patient Insight.

• Support external validation of Scleroderma Patient Insight and create dissemination methods for the tool to other academic medical centers.

• Participates in regularly scheduled meetings with investigators and teams that require statistical input.

• Design statistical procedures for specific research endeavors and prepare written reports.

• Assist with writing statistical design, methods, and analysis for manuscripts and research proposals.

• Analyze data and prepare tables and figures for interim and final reports.

• Ensure data integrity and compliance with security policies governed by HIPAA and the Johns Hopkins IRB.

Minimum qualifications (mandatory):

• Master's Degree in Biostatistics, Epidemiology, or related quantitative field.

• One-year related experience.

• Demonstrated ability via a significant graduate project or additional doctoral education may substitute for experience to the extent permitted by the JHU equivalency formula.

Preferred qualifications:

• Basic data science skills such as using: Unix tools, version control systems (e.g. git and Github), and virtualization (e.g. Docker);

• Proficiency in software package development, especially in R and/or Python

• Proficiency in or ability to learn basic SQL

• Training or equivalent experience analyzing data;

• Willingness to stay current with emerging data science tools and to learn new statistical techniques;

• Commitment to translating data science research into real-world impact.

Salary: $60,000-$75,000

Job Type: Full Time

The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.

Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: https://hr.jhu.edu/benefits-worklife/.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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