Postdoctoral Fellow

San Francisco, CA
United States

 

Postdoctoral Position in statistics and disease modeling at UCSF

 

The UCSF MS Group is seeking a highly motivated individual to play a leading scientific role in a project involving complex clinical prediction algorithms.

 

The MS Group is located in the new and vibrant Mission Bay Campus of the University of California, San Francisco. The goal of the project is to leverage our rich natural history cohort of individuals with multiple sclerosis, to develop clinical prediction algorithms to be included in our Multiple Sclerosis BioScreen project (http://neurology.ucsf.edu/research/ms-bioscreen).

 

This project will be jointly supervised by Dr. Jill Hollenbach http://profiles.ucsf.edu/jill.hollenbach (Data Standards, Management and Analysis; Immunogenomics) and Dr. Riley Bove (MS clinical research and digital health; http://profiles.ucsf.edu/riley.bove), and will work within a large and thriving interdisciplinary team. The work has funding from PCORI, the Hilton Foundation and the California Initiative for the Advancement of Precision Medicine, among others.

 

The primary expectation of this position is to perform original scientific research, working with staff, other postdoctoral fellows, and junior scientists within the MS group. The successful applicant will have a strong record of peer-reviewed publications in the field of biostatistics, or a related field that highlights their productivity and commitment to data analytics.

 

Our group is highly collaborative and the successful applicant must be able to effectively communicate with clinicians, scientists and developers as a productive part of a cohesive team. We are looking for a colleague with a strong sense of “team effort.” In addition, the successful applicant must have an exceptional statistical background and excellent writing skills to join our team at the forefront of delivering precision medicine in MS. 

 

 

Responsibilities

 

  • Work closely with programmers and clinicians to develop algorithms and pipelines for clinical data analysis, contextualization and prediction.
  • Apply a variety of statistical analytical techniques.
  • Interact with clinicians, biostatisticians, immunologists, and geneticists to perform statistical analyses.
  • Prepare manuscripts independently and in collaboration with lab members for publication in peer-reviewed journals. Candidate’s authorship position on manuscripts will be based on scientific contribution and merit.
  • Prepare grant proposals in conjunction with Drs. Hollenbach and Bove to secure funding for further data analytics in clinical research.
  • Present research at a national/international MS related conferences (e.g., AAN, ECTRIMS/ACTRIMS).

 

 

 

 

The ideal candidate will have a PhD in Biostatistics, Data Science, or a related field, and fulfill most of the following requirements:

 

  • Experience in algorithms, computational techniques, and statistical methodologies for data modeling and prediction.
  • Programming experience in statistical and scripting languages (R, Perl, etc.).
  • Familiarity web-based analytics and access to public and proprietary databases.
  • Familiarity with computational infrastructure and code management.
  • Familiarity with database management.
  • A background in biology, health or medicine is preferred.
  • Record of publishing in peer-reviewed journals.
  • Excellent written and verbal communication skills, and the ability to manage multiple projects.

 

 

 

 

UCSF is an Equal Opportunity/Affirmative Action Employer. The Bove and Hollenbach Labs are committed to increasing diversity in the sciences. Applications from women and under-represented populations are encouraged.

 

To apply, please send CV, the names of two references and/or letter of recommendation, and a short research statement (1pg) as a single PDF to Jill Hollenbach, PhD at [email protected].

 

Related Jobs