Biostatistician, Senior; School of Medicine, Pathology

Job Number
Job Type
Regular Full-Time
School Of Medicine
SOM: Pathology: Admin
This position may involve the following Health and Safety issues:
Working in a laboratory
Job Category
Campus Location (For Posting) : City
Location : Name
Bldg 1525 Clifton Road

Discover Your Career at Emory University

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the diversity and excellence of our academic community.


The Gordon Laboratory seeks a motivated biostatistician to spearhead cutting-edge virology and immunology studies. Our lab utilizes functional assays and mass spectrometry to systematically dissect biological pathways impacting pathogen infection and immunity and identify novel treatment modalities.


With our focus on high prevalence pathogens (including HIV and SARS-CoV-2) and fundamental questions of immunity, this is a superb opportunity for a sharp biostatistician to explore key mechanisms of human disease and contribute to therapeutic strategies.  We pursue diverse projects spanning both academic and industry collaborations, and offer opportunities in basic and translational research and development.


We believe that the best science emerges from an environment of generous collaboration, reinforced by a culture of learning, curiosity, and the sharing of advice and skills. In considering new members of our group, we value a positive can-do attitude, evidence of previous success in laboratory environments, and attention to detail.



  • Develops and analyzes a variety of research data using statistical methods.
  • Assists researchers in developing appropriate study protocols and computer analyses.
  • Manages computer systems, writes programs, and trains others in the use of systems.
  • Keeps abreast of the latest statistical modeling and computing tools.
  • Participates in the development and selection of appropriate statistical methods and tests, sample size calculations and creation of randomization schedules.
  • Prepares statistical method sections for inclusion in study protocols.
  • Reviews the design and content of database designs and data edit checks.
  • Develops and validates SAS programs to support statistical analyses.
  • Provides interpretations of statistical results, and prepares the relevant statistical sections for study reports.
  • Creates and maintains biostatistical documentation, including descriptions of methods, SAS programs and results.
  • Prepares electronic files using appropriate formats for submission to regulatory agencies.
  • Participates in the development of standardization procedures for statistical functions.
  • Reviews and audits statistical analysis plans, SAS programs, and statistical reports including tables, listings, and figures.
  • Provides guidance to more junior biostatisticians.
  • Evaluates and proposes new statistical methods for data analysis.
  • Assigns and monitors activities of other project personnel.
  • Assist in setting priorities of work to be done.
  • Provides support and serves as a resource to biostatisticians, programmers, and data analysts.
  • Participates in training of less senior biostatisticians and other team members.
  • Provides input into the evaluation of their team members.
  • Reviews and helps prepare statistical and database management sections of NIH grant applications and other externally supported proposals prior to submission.
  • Writes statistical methods section of manuscripts for publication.
  • Writes and/or revises quantitative, epidemiologic, and medical sections of manuscripts.
  • Helps estimate budgets for biostatistical support for larger, more involved clinical studies (NIH program project grants, multicenter clinical trials etc).
  • Monitors data collection, institutes procedures to assure data quality and guarantees study protocols are followed appropriately.
  • Performs related responsibilities as assigned.


The senior biostatistician will focus on the following:

  • Adapt statistical and machine learning frameworks to derive and refine pathway models in close collaboration with wet-lab experts.

  • Integrate -omics and pathway mapping frameworks with public databases to identify novel therapeutic strategies.

  • Implement innovative approaches for the interpretation and visualization of high-dimensional proteomics datasets. Spearhead dissemination of research findings in a manner accessible to both informatics experts and bench scientists.

  • Automate analysis, visualization, and quality control of large datasets.


  • A master's degree in statistics, biostatistics, computer science, or a related field and three years of experience as a biostatistician, preferably in an academic setting, OR an equivalent combination of education, training, and/or experience.
  • Proficiency in modern high level statistical languages such as S-PLUS or SAS and in database management.


  • Experience using relevant programming and scripting tools (e.g. Python, R, MATLAB, Perl, or equivalent) and studying biological systems (e.g. biological macromolecules, biochemical interactions, protein folding or functional pathways).
  • Fluency in statistical analysis and adaptation of statistical approaches for novel applications.
  • Integrative analysis of orthogonal / high dimensional datasets.
  • Experience in deploying and managing programs deployed to computing clusters. Administration utilizing Kubernetes, Docker, Ansible, SLURM, or similar tools.
  • Experience in database management using SQL, Redis, or similar database / data structure tools.
  • Machine learning using using pytorch, JAX, gurobi, or equivalent.

An ideal candidate should have a strong background in one or a combination of the following areas: Computational Biology, Bioinformatics, Computer Science, Statistics, Molecular Genetics, Mass Spectrometry, Virology, and/or Biomedical Science. Preference will be given to candidates who have a solid understanding of biology and have prior experience in -omics data analysis.  


NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University on a flexible weekly schedule based upon business needs.  Schedule is based on agreed upon guidelines of department of work.  Emory reserves the right to change remote work status with notice to employee.

Emory Supports a Diverse and Inclusive Culture

The COVID-19 vaccine or an approved exemption is currently only required for individuals working in a clinical setting. For more information on the University or Hospital policies, including exemptions, please see our website.

Emory University is dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Emory University does not discriminate in admissions, educational programs, or employment on the basis of any factor stated above or prohibited under applicable law. Students, faculty, and staff are assured of participation in University programs and in the use of facilities without such discrimination. Emory University complies with Executive Order 11246, as amended, Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity and affirmative action. Emory University is committed to achieving a diverse workforce through application of its affirmative action, equal opportunity and nondiscrimination policy in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Inquiries regarding this policy should be directed to the Emory University Department of Equity and Inclusion, 201 Dowman Drive, Administration Building, Atlanta, GA 30322.

Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week advance notice is preferred.


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