Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, Python, and/or Unix. The ideal candidate will have engaged in two or more years of research as an undergraduate, though candidates at all stages are encouraged to reach out. Positions are one year
-
Technology, ITS Required Qualifications: Ph.D. in Computer Science, Library/Information Science, Knowledge Graphs / Linked Data in any discipline, or related field Proficiency in Python, and experience with
-
Data, or related field Proficiency in Python, and experience with data analysis To Apply: Please send a cover letter, CV/Resumé, and 2-3 references to [email protected] , with the subject line
-
Required: PhD in Bioinformatics, Computational Biology, Computer Science, or equivalent related field Strong programming skills (R and Python required; PyTorch/JAX/TensorFlow preferred) Demonstrated track
-
, Knowledge of or background in molecular cell biology, biochemistry, or genetics, and familiar with or proficient in statistical programing languages and frameworks such as R, Python, SQL, Bash Scripting, R
-
epidemiology. Experience analyzing large cohort, registry, biobank, or omics datasets. Strong programming skills in R, SAS, Stata, or Python. Familiarity with survival analysis, longitudinal data analysis
-
analyzing data using SQL or Python. 2. Strong organizational skills, attention to detail, and ability to prioritize and multitask. 3. Excellent written and verbal communication skills, with the ability
-
, ethical, and reproducible research and to communicate effectively with both computational and clinical audiences. Strong programming skills in Python and comfort working in Linux environments. Demonstrated
-
research, educational, or caregiving setting). Foundational experience with at least one relevant technical or programming tool (R, JavaScript or jQuery, Python, HTML, or PHP), and a willingness to expand
-
, and analytic workflow development. 2. Proficiency with statistical and programming tools such as R, Python, SQL, SAS, or comparable platforms. 3. Strong understanding of data privacy, security