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PhD in Statistical Genetics, Biostatistics, Biomedical Informatics, Computer Science, Bioinformatics, or closely related field, with expertise in method development and practical application.
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Open Rank Teaching/Clinical Professor: a PhD or DrPH in Public Health, Population Health, Health Services Administration, Epidemiology, Biostatistics, Communications, Nutrition, or related fields by the appointment start date.
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The HWSPH has focal areas of Biostatistics and Bioinformatics, Climate & Environmental Health, Community Health Services and Preventive Medicine, Epidemiology, Global Health, Health Behavior, Health Equity and Justice, Health Policy, Public Mental Health, and Technology & Precision Health and offers teaching and student mentoring opportunities in our BS in Public Health, MPH, PhD in Public Health (administered jointly with SDSU), and MS and PhD in Biostatistics degree programs.
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Teaching responsibilities may include participation in biostatistics PhD and MS training programs, as well as teaching biostatistics courses in epidemiology, health policy, and other biomedical programs.
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Doctoral degree (e.g. PhD, MD, ScD, PharmD) and/or Master’s degree (e.g. MSc, MPH) in Epidemiology or related discipline, such as Outcomes Research, Medicine, Biostatistics from an accredited institution, with a minimum of 8 years (PhD) or 10 years (MS) of relevant experience.
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The ideal candidate will have a PhD in bioinformatics, computational biology, genetics, data science or related field. PhD in bioinformatics, computational biology, genetics, data science or related field.
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In this role, you will work closely with Global Patient Safety and Risk Management (GPSRM), Medical Affairs, Value Evidence and Strategy (VEST), Biostatistics, Clinical Research and Regulatory Affairs to inform clinical development and real-world outcomes and answer product- and disease-area research questions for Alnylam RNAi therapeutics using observational studies and real-world evidence.
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PhD degree (in Bioinformatics, Biostatistics, Computer Science, Applied Mathematics or a related field) with six or more years relevant work experience required. Master’s degree (in Bioinformatics, Biostatistics, Computer Science, Applied Mathematics or a related field) with eight or more years relevant work experience required.
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Provide interpretation of biomarker data with biostatistics, modeling, clinical pharmacology and clinician. Scientific initial training (PhD in Life Sciences, PharmD, MD) and deep knowledge in oncology, hematology and/or immunology.
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PhD in a relevant subject area (Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics) · Strong quantitative background (e.g. BSc in Computer Science, Applied Math, Engineering, Biostatistics.
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Doctorate (MD, PhD, VMD, or DDS) in computer science, computational biology, data science, bioinformatics, biomedical informatics, biostatistics, engineering, or a related quantitative field is required.
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Program faculty also work with PhD doctoral students in the Biostatistics and Data Sciences, Epidemiology and Population Health, and Community Health Science and Policy Programs. The School of Public Health ( SPH ) is located on the Louisiana State University Health Sciences Center-New Orleans ( LSUHSC -NO) campus which is downtown in the medical district of the metropolitan area.
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Master of Science (MSc) or PhD in Biostatistics, Psychometrics, or a relevant science such as Health Economics, Public Health, Epidemiology, Pharmacoeconomics, or Psychology. Master of Science (MSc) or PhD in Biostatistics, Psychometrics, or a relevant science such as Health Economics, Public Health, Epidemiology, Pharmacoeconomics, or Psychology.
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You hold a PhD degree in computer science, computational biology, machine learning, artificial intelligence, bioinformatics, biophysics, biostatistics or related fields. Alternatively, you hold a PhD in immunology, Oncology, molecular biology, pharmacology, biochemistry or related fields.
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We seek an experienced colleague in academia with a background in public health whose teaching and scholarly expertise include biostatistics, health policy, research methods, and health equity.
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