Research Associate (Data Scientist/Statistical Engineer), Johns Hopkins inHealth and Biostatistics
Johns Hopkins University
Application
Details
Posted: 18-Oct-22
Location: Baltimore, Maryland
Type: Full-time
Salary: Open
Internal Number: A-114436-4
General Description
Non-tenure track faculty position, Research Associate candidate will devote primary effort to the Johns Hopkins Individualized Health Initiative (Hopkins inHealth), and secondary effort to statistical consultation within the Johns Hopkins Biostatistics Center (JHBC), the statistical practice arm of the world-renowned Department of Biostatistics. https://www.jhsph.edu/research/centers-and-institutes/johns-hopkins-biostatistics-center/. An 60%/40% allocation of primary / secondary roles is envisioned.
The Johns Hopkins Individualized Health Initiative (Hopkins inHealth) is a university-wide strategic initiative to turn precision medicine into reality, leveraging the university's multi-disciplinary expertise as well as its best-in-class data analytics infrastructure. Observational Health Data Science and Informatics (OHDSI) is an international, multi-stakeholder collaborative, developing data analytic infrastructure to generate reliable clinical evidence from observational health data. Johns Hopkins has Âadopted the OHDSI's OMOP Common Data Model as the data standard of choice for its Precision Medicine Analytics Platform (PMAP) and is an active contributor to the OHDSI community.
The candidate is expected to help create further synergy between the domain expertise of Johns Hopkins's Precision Medicine Centers of Excellence and the extensive health data network provided through our OHDSI collaboration. The roles of the data scientist/statistical engineer include:
Execute OHDSI studies (e.g. for cohort characterizations and comparative effectiveness) on Johns Hopkins's EHR data to support clinicians;
Collaborate with statisticians and clinicians to continuously integrate state-of-the-art statistical tools to the inHealth/OHDSI tool stack for deployment;
Mentor trainees on data science and software development skills;
Co-teach courses on observational health data analytics and data science skills at School of Medicine and Public Health;
The JHBC effort focuses on providing biostatistical consultations to researchers at the Johns Hopkins Bloomberg School of Public Health, Johns Hopkins Medical Institutions, and external organizations. These consultations range from short in-person sessions to longer-term projects and focus on study design, sample size justification, reviewing of statistical approaches, data management, data visualization, programming, statistical analysis, reporting, and development of software, apps, or dashboards. Project-related final products generally include conference abstract submissions, grant applications, study-specific reporting, and scientific manuscripts. The candidate is expected to work as part of a team of data managers and biostatisticians in the center. They will also regularly interact and collaborate with a broader community of consultative statisticians in the institution and will have access to a variety of data sources, exposure to a broad range of substantive and methodological problems that address scientific and societal challenges. The role might be extended to address future strategic initiatives in the center.
The appointment is primarily in the Johns Hopkins Department of Biostatistics, founded in 1918, as the first degree-granting department of statistical science in the US and has ranked among the world's best throughout its history. We are located in Baltimore, a multi-ethnic city with a thriving cultural life and a rich history that is older than the nation, a food-lover's paradise, and close to Washington DC, Philadelphia, and New York City. Johns Hopkins University has a deep commitment to diversity, equity, and inclusion.
Benefits include professional development opportunities, including continuing education courses and materials, tuition remission, travel to conferences.
Qualifications
Required Qualifications:
PhD degree, or Master's with at least 3 years of experience in applied statistics and/or data science disciplines such as biostatistics, computational biology, computer science, epidemiology, health informatics, as well as other quantitative data-intensive fields;
Basic software engineering skills, such as knowledges of: Unix tools, version control systems (e.g. git and Github), virtualization (e.g. Docker), etc;
Proficiency in software package development, especially in R;
Experience analyzing modern, large-scale data;
Experience contributing to open-source software projects;
Adapt quickly to new problems and challenges;
Willingness to stay current with latest data science tools and learn new statistical techniques as needed;
Commitment to translating data science research into real-world impacts;
Demonstrated excellence in statistical consulting and cross-disciplinary collaboration;
Effective team player and ability to work independently;
Excellent oral and written communication skills
Preferred Skills:
Proficiency in other statistical software programs (in addition to R), such as STATA or SAS
Experience in the design, conduct, monitoring, analysis, and reporting of clinical trials, including protocol reviews, drafting and revision of statistical analysis plans, sample size justifications, preparation and presentation of data and safety monitoring committee reports is desirable.
Application Instructions
Applications must be submitted via the Interfolio website. To apply, please submit a cover letter and CV/resume by clicking the "Apply Now" button. This is a free service. Should you have any questions regarding this position, please direct your inquiries about Johns Hopkins inHealth/OHDSI to Dr. Aki Nishimura (aki.nishimura@jhu.edu) and about the Johns Hopkins Biostatistics Center to Dr. Gayane Yenokyan, gyenoky1@jhu.edu or Ms. Jiangxia Wang, jwang135@jhu.edu
Johns Hopkins University remains committed to its founding principle, that education for all students should be grounded in exploration and discovery. Hopkins students are challenged not just to learn but also to advance learning itself. Critical thinking, problem solving, creativity, and entrepreneurship are all encouraged and nourished in this unique educational environment. After more than 130 years, Johns Hopkins remains a world leader in both teaching and research. Faculty members and their research colleagues at the university's Applied Physics Laboratory have each year since 1979 won Johns Hopkins more federal research and development funding than any other university. The university has nine academic divisions and campuses throughout the Baltimore-Washington area. The Krieger School of Arts and Sciences, the Whiting School of Engineering, the School of Education and the Carey Business School are based at the Homewood campus in northern Baltimore. The schools of Medicine, Public Health, and Nursing share a campus in east Baltimore with The Johns Hopkins Hospital. The Peabody Institute, a leading professional school of music, is located on Mount Vernon Place in downtown Bal...timore. The Paul H. Nitze School of Advanced International Studies is located in Washington's Dupont Circle area.