Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, Consumer Health Informatics, Translational Bioinformatics, Human-Computer Interaction, and Data Science, with applications in electronic health records, digital health, biomedical imaging, healthcare policy
-
advanced academic research experience before pursuing a career in the medical technology industry. Qualifications Recent master’s degree in computer science, Biomedical Engineering, Data Science, or a
-
Postdoctoral Associate, Program of Ethics, Politics, and Economics Yale University: Faculty of Arts and Sciences: Social Science: Political Science Location New Haven, CT Open Date Dec 11, 2025
-
). Maintain rigorous experimental documentation, data management practices, and reproducible analysis pipelines. Present results at lab meetings, departmental seminars, and scientific conferences; contribute
-
will develop statistical and machine-learning approaches for integrating AIRR-seq with single-cell RNA-seq, paired BCR/TCR data, genomics, immune phenotyping, germline variation, and clinical
-
, Family Medicine, OB/GYN, or Pediatrics) and 0.5 FTE dedicated to clinical informatics leadership under the direction of the Chief Medical Information Officer (CMIO). Reporting to the Chief Medical
-
program, our laboratory addresses three central questions: ● Why do breast cancer therapies stop working? ● How can the patients developing resistance, and the biology driving it, be identified from a
-
, depending on experience. The successful candidate will develop statistical and machine-learning approaches for integrating AIRR-seq with single-cell RNA-seq, paired BCR/TCR data, genomics, immune phenotyping
-
enrollment of and interaction with research study participants and data analysis. The post-grad is welcome and encouraged to attend department conferences and lectures and to participate in clinical research
-
resources. 3. Routine outcomes assessments and entry of data into STEP’s informatics platform – including the use of specific scales with patients, and extraction of data from clinicians and administrative