Senior Biostatistician - Epidemiology & Population Genetics

The Jackson Laboratory for Genomic Medicine
Jun 30, 2017
Jul 18, 2017
Employer Type
Direct Employer
Employment Type
Full Time
Job Description

Tracking Code 6414

Senior Biostatistician

Dr. Karolina Palucka, Principal Investigator

About The Jackson Laboratory for Genomic Medicine: Comprising 183,000 square feet of highly advanced, state-of-the-art laboratories and supporting facilities, JAX-GM is conveniently located midway between NYC and Boston in the heart of Connecticut's growing bioscience industry. Our mission at JAX-GM is to discover the complex causes of disease, develop diagnostics and therapeutics, and ultimately empower the global medical community.

JAX-GM is part of an exciting, internationally-recognized research and educational institution with unparalleled genomic resources and research support services. Seeking to advance personalized medicine, we draw on the institution's distinguished history and on the innovative expertise of our growing faculty, who are recruited from among the world's top scientific labs and institutions.

About the position: The Palucka Lab at JAX-GM is currently seeking a motivated biostatistician interested in leveraging talents in statistics to support the work of the lab by ensuring that all experiments are designed optimally through systematic analysis of existing approaches and proposal of practical and pragmatic enhancements or alternatives as necessary. In addition, the incumbent will develop, validate and implement quality control and analysis techniques for data generated by the Palucka Lab and assist in both grant writing and project summaries/publications.

The overarching theme of the Palucka lab is to investigate the mechanisms of human immunity and to identify strategies for harnessing the power of the immune system to prevent and treat cancer. For more, visit the Palucka Lab online.


  • With minimal supervision, act as lead biostatistician on projects ranging in size and complexity, taking full responsibility for the statistical and analytical aspects of consulting projects.
  • Work with scientific staff and support staff to assist in grant preparation, with particular emphasis on experimental design, sample sizes, and statistical/analytical methodology.
  • May serve as lead and/or mentor to other staff.
  • Take initiative to keep abreast of scientific staff needs though surveys, interviews, user-group meetings, and other means of communication.
  • Take initiative to identify, acquire, evaluate, and deploy software relative to scientific needs of the institution consistent with responsibilities.
  • Participate in delivering training of benefit to scientific staff through workshops, presentations, and other training venues.
  • Take initiative to identify and develop curriculum for local training where appropriate and necessary.
  • Work effectively in a team environment with lesser experienced individuals as well as management level personnel.
  • Aid in the development of data QA/QC and analytical/statistical protocols.
  • Provide clear, concise and timely written work agreements and project summaries. May also write and edit large sections of a manuscript and/or grant, including the statistical/analytical methods and portions of the results section, and will check manuscripts/grants for numerical accuracy.


  • Ph.D. in biostatistics, statistics, statistical genetics, bioinformatics, or related field.
  • Demonstrated experience in analysis of NGS sequencing data, with preference to those with knowledge of single cell datasets and/or population genetics.
  • Experience in epidemiology and population statistics and population variance analysis.
  • Immunology research experience preferred.
  • Strong list of research publications.

Success in this role will require:

  • Broad experience in statistics, and knowledge pertinent to the design, analysis, and reporting of experiments including: experimental design, linear/nonlinear models, mixed effect models, multivariate statistical analyses, Bayesian methods, and statistical/machine learning.
  • Programming proficiency and experience with relevant software tools such as R, Shiny, Stan, JMP and/or SAS.
  • Effective communication with key stakeholder groups including statisticians, software developers, informaticians, operational managers, animal care and use committee members, biological experts, and Principal Investigators.

APPLICATION INSTRUCTIONS: Please include a cover letter along with your resume/CV. Applications without cover letters will not be considered.


JAX began in 1929 with a small group of scientists dedicated to the emerging field of genetics. We now have over 1,700 scientists, technicians, and support staff, including over 50 Principle Investigators in five primary disease areas: cancer, reproductive biology, immunology, metabolic processes and neuroscience. Our fundamental contributions to biomedical research include cancer genetics and establishing the mouse as the premier research animal model.

  • Uncover more of our historic milestones, including the 26 Nobel prizes associated with our research, resources, and education
  • Read our latest news & insights for a glimpse at how we're impacting the future of biomedicine
  • Follow the progress we're making on our quest to improve human health via our recent research highlights

EEO: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.

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