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Job Req ID:  41556

Sr. Research Data Analyst

<span style="font-family:"Times New Roman",serif">General Summary/Purpose:

<span style="font-family:"Times New Roman",serif">Investigators in Genetic Epidemiology studies of inflammation including Food Allergy, Atopic Dermatitis, CAD, Asthma and Atopy. The Sr. Research Data Analyst will also manage other research team members (e.g. graduate students, Sr. Research Analysts) to support the conduct of the research. Individual will manage, analyze and report on genomics studies with an emphasis on next generation sequence analysis for both family and case-control data with particular attention to phenotypes related to inflammation. The individual will analyze data with respect to sequencing on DNA and RNA. The individual will also be required to: (i) assist with the development of analytical pipelines and software that are cross-project and not specific to their own specific assigned projects; (ii) liaison with external collaborative groups independently of the PI to present research updates and facilitate research with external collaborators (iii) assist with and take a leadership role on high school and undergraduate trainees that intern; and (iv) manage graduate level students working on a part time basis and full time analysts (~4 part time/full time in total)

 

<span style="font-family:"Times New Roman",serif">Specific Duties & Responsibilities:

  • <span style="font-family:"Times New Roman",serif">Data management including data checking and cleaning of sequence and phenotype data.
  • <span style="font-family:"Times New Roman",serif">Merging data, creating and recoding variables to prepare data for analyses.
  • <span style="font-family:"Times New Roman",serif">Analyzing data using a variety of standard statistical techniques including classical regression and statistical genetics tools.
  • <span style="font-family:"Times New Roman",serif">Presenting and summarizing analyses in various formats including raw output, tables, and graphics, oral and written reports. This includes internal presentations within the lab as well as external communications to collaborators across institutions.
  • <span style="font-family:"Times New Roman",serif">Primary emphasis will be on data analysis pertaining to DNA variation and transciptomic variation from RNASeq analysis.
  • <span style="font-family:"Times New Roman",serif">Bio-informatics approaches to help translate the detected associations into biological functional categorizations is critical.
  • <span style="font-family:"Times New Roman",serif">Supervise trainees at the high school and undergraduate level. Assisting with their weekly training and hands on experience.
  • <span style="font-family:"Times New Roman",serif">Contributes to publications.
  • <span style="font-family:"Times New Roman",serif">Project Management for a variety of projects assigned to graduate level students and research staff.

 

<span style="font-family:"Times New Roman",serif">Essential Job Functions

  • <span style="font-family:"Times New Roman",serif">Using standard computer software packages for data management including data checking and cleaning of genotype and phenotype data.
  • <span style="font-family:"Times New Roman",serif">Using standard computer software packages for merging data, creating and recoding variables to prepare data for analyses.
  • <span style="font-family:"Times New Roman",serif">Using standard computer software packages for analyzing next generation sequence data (DNA and RNA) data using a variety of standard statistical techniques including classical regression and statistical genetics tools.
  • <span style="font-family:"Times New Roman",serif">Generating scripts in R and Perl to manage whole genome sequence data and tests for association on phenotypes of interest.
  • <span style="font-family:"Times New Roman",serif">Building analysis solutions that are cross-project and laboratory-wide in their use. This includes building centralized solutions to data analysis, interpretation and summary that will be implemented across other analysts and research projects in the PI’s lab.

<span style="font-family:"Times New Roman",serif">Minimum Qualifications (mandatory):

  • <span style="font-family:"Times New Roman",serif">Masters’ degree required in Human Genetics, Genetic Epidemiology, or Statistical Genetics is required OR a Ph.D in Human Genetics, Genetic Epidemiology, or Statistical Genetics.
  • <span style="font-family:"Times New Roman",serif">Minimum of one year of work experience in genetic epidemiology.
  • <span style="font-family:"Times New Roman",serif">Demonstrated ability on significant graduate project or additional doctoral education may substitute for experience to the extent permitted by the JHU equivalency formula***.

 

<span style="font-family:"Times New Roman",serif">Preferred Qualifications:

  • <span style="font-family:"Times New Roman",serif">Bioinformatics experience is preferred.
  • <span style="font-family:"Times New Roman",serif">Prior experience in genomics analysis and understanding of translational interpretation is preferred.
  • <span style="font-family:"Times New Roman",serif">Candidates with expertise or interest in Genetic Epidemiology and/or the specific disease outcomes research are preferred.
  • <span style="font-family:"Times New Roman",serif">Three years of post-doctoral research training or equivalent work experience

 

<span style="font-family:"Times New Roman",serif">Special Knowledge, Skills, and Abilities:

  • <span style="font-family:"Times New Roman",serif">Proficiency in at least one major statistical analysis software package (e.g. SAS, or R) as well as Microsoft Office software required.
  • <span style="font-family:"Times New Roman",serif">Programming skills in R, Python or Perl are required.
  • <span style="font-family:"Times New Roman",serif">Excellent organizational, communication and writing skills required.
  • <span style="font-family:"Times New Roman",serif">Candidate must be detail oriented and able to work independently on assigned tasks.
  • <span style="font-family:"Times New Roman",serif">Some related experience.

 

<span style="font-family:"Times New Roman",serif">Supervisory Responsibility:

  • <span style="font-family:"Times New Roman",serif">The Sr. Research Data Analyst will manage up to 2 full time research analysts and up to 2 graduate students for a total of 1-4 analysts in the laboratory.

 

<span style="font-family:"Times New Roman",serif">***JHU Equivalency Formula:  18 graduate degree credits may substitute for one year of experience. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.

 

Classified Title: Sr. Research Data Analyst 
Working Title: Sr. Research Data Analyst  ​​​​​
Role/Level/Range: ACRP/04/MD 
Starting Salary Range: $52,945-$72,210 (commensurate with experience)
Employee group: Full Time 
Schedule: Monday-Friday/8:30am-5:00pm 
Exempt Status: Exempt  
Location: 33-MD:Johns Hopkins Bayview 
Department name: 10002788-SOM DOM Bay Clinical Immunology 
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 jhurecruitment@jhu.edu. 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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