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Job Req ID:  81459

Sr. Research Data Analyst

The Oncology Department is seeking a Senior Research Data Analyst  who will serve as an analyst for multiple “omics” platform data in the context of cancer-related studies ranging from basic science through clinical trials. This role will independently carry out bioinformatics/computational analyses and contribute to the interpretation of complex, cutting-edge, high-dimensional datasets generated by mass cytometry and next generation sequencing. The Senior Research Data Analyst is expected to function independently and in collaboration with faculty to solve problems posed by the clinical and laboratory investigators with joint supervision by the Scientific Director of Mass Cytometry Facility and the Director of Oncology Biostatistics. There will be an emphasis on the analysis of mass cytometry datasets (both suspension and imaging) and single cell genomics/transcriptomics.


The candidate will also work as a team with other analysts in the research group and assist in management of the computer cluster. The Senior Research Data Analyst will work with the computing center administrators to maintain and update the computer clusters, including computing and storage clusters. This individual will communicate analytical results and details of the computational analyses effectively to the faculty directors and to collaborating investigators. Keeping up to date with the published literature and new developments and technologies that will advance the mission of the core laboratory is critical.


Specific Duties & Responsibilities:

  • Write computer codes in a procedural-oriented computer language to accomplish the actual data analysis; select the appropriate computing environment (PC, minicomputer, or mainframe). Interpret and analyze the results of statistical analyses.
  • Collaborate with clinical and scientific investigators in data analysis plans, grant applications, and preparation of presentations and publications.
  • Communicate with clinical and scientific investigators to determine their needs with respect to the design of studies including sample size calculations and randomization.
  • Prepare written reports of statistical analyses including relevant statistical theory, references, methods, results, and conclusions.
  • Contribute to the local protocol development and the preparation of research grant applications in the collaborative setting.
  • Utilize standard and non-standard biostatistical, bioinformatical, and database methods for the production of analyses.
  • Implement appropriate methodologic procedures for overall descriptive statistics, exploratory data analyses including graphs, schematic summaries, necessary transformations, and confirmatory data analyses including statistical tests and/or modeling.
  • Use micro, mini, and mainframe computing systems. Maintain appropriate systems for database associated management.
  • Keep abreast of technical and academic resources related to the methodology of statistical analyses.
  • Discuss with colleagues, investigators, and supervisor the need for any additional analyses and/or special methodologic needs.
  • Perform methodologic research in biometry related to oncology.
  • May serve as resource for research staff and field data coordinators regarding data issues: collection, entry, quality, transfer.
  • May present data at meetings.


Equipment, Machine, or Tool Requirements:

  • Experience with computers and servers and knowledge of Linux/UNIX as well as other common operating systems such as Mac OS and Windows is necessary.
  • Experience with server configuration and troubleshooting preferred.
  • Ability to use the internet and web-based scholarly search engines.


Minimum Qualifications (Mandatory):

  • Master’s Degree in related discipline is required. 
  • PhD. in related discipline is preferred.
  • Minimum of 1 year related experience.
  • Experience with Linux/UNIX.
  • Experience with code development, optimization, and testing.
  • Experience in a sequencing center.


Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date. 


Special Knowledge, Skills, or Abilities:

  • Knowledge and practical experience with programming languages (e.g., Java, C or C++), a scripting language (e.g., Perl, Python), and a statistical environment (e.g. R).
  • Familiarity with common computational biology tools and software packages, such as Bioconductor.
  • Must be detail-oriented, focused, creative, and independent.
  • Proficiency in both written and spoken English with excellent communication skills.
  • Good interpersonal skills in dealing with investigators and understanding their problems are required.
  • Knowledge of system administration and networking
  • Effective working knowledge of Microsoft Office (particularly Word, Excel, and PowerPoint) is required.


Classified Title: Sr. Research Data Analyst
Role/Level/Range: ACRP/04/MD 
Starting Salary Range: $53,020 - $72,930 annually (commensurate with experience)
Employee group: Full Time 
Schedule: M-F 8am- 4pm 
Exempt Status: Exempt 
Location: ​​​​​​​Hybrid/School of Medicine Campus 

Department name: ​​​​​​​SOM Onc Bioinformatics 
Personnel area: School of Medicine


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.


Johns Hopkins has mandated COVID-19 and influenza vaccines, as applicable. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. For additional information, applicants for SOM positions should visit and all other JHU applicants should visit


The following additional provisions may apply, depending on campus. Your recruiter will advise accordingly.


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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