Sort by
Refine Your Search
-
with special needs patients and families, strong sense of research ethics, team skills, good English language skills, and good organization are expected. Additional expertise in statistical software
-
, and the CDC Insight Network. POSITION QUALIFICATIONS REQUIRED: PhD (or equivalent) in Biostatistics, Epidemiology, or a closely related field. Strong applied data analysis and quantitative modeling
-
data around dementia home- and community-based services (HCBS). The fellow will play a key role in the Community Care Network for Dementia (CaN-D), generating and analyzing quantitative and qualitative
-
. We are looking for a candidate with a PhD in Neuroscience or another closely related field awarded within the past three years. The ideal candidate should be highly motivated, independent, and detail
-
with high-performance computing (HPC) environment, cloud-based computation, software tools for genetic epidemiologic analyses (e.g. GWAS, whole-genome sequencing, polygenic score, Mendelian Randomization
-
effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: PhD in relevant academic research field. NOTE: Position tasks
-
to developing novel anticancer strategies and combination therapy to achieve better clinical outcomes. REQUIREMENTS: 1. Ideal candidates must have a PhD, have basic experience in standard laboratory techniques
-
with colleagues. Additional qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: PhD in Biostatistics, Epidemiology, or Demography, or a related field Strong expertise in
-
screenings for all positions. These screenings may include an Information Network Associates (INA) and criminal background check, and verification of work history, academic credentials, licenses, and
-
oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: PhD in Statistics