Research Associate (Data Scientist/Statistical Engineer), Johns Hopkins inHealth and Biostatistics


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. . 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 ­adopted 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;
  • Facilitate adoption of the inHealth tools among the broader OHDSI community by contributing to OHDSI’s Health Analytics Data-to-Evidence Suite .
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.


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 ( and about the Johns Hopkins Biostatistics Center to Dr. Gayane Yenokyan, or Ms. Jiangxia Wang,

Equal Employment Opportunity Statement

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.

The successful candidate(s) for this position will be subject to a pre-employment background check.

If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at For TTY users, call via Maryland Relay or dial 711.

The following additional provisions may apply depending on which campus you will work. Your recruiter will advise accordingly.

During the Influenza ("the flu") season, as a condition of employment, The Johns Hopkins Institutions require all employees who provide ongoing services to patients or work in patient care or clinical care areas to have an annual influenza vaccination or possess an approved medical or religious exception. Failure to meet this requirement may result in termination of employment.

The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

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