Director, Biostatistics - Remote Agios PharmaceuticalsDirector, Biostatistics - RemoteHouston, TXRemote$183,000–$275,000 / yearThe current base salary range for this position is expected to be between $183,000 and $275,000 annualized; final salary will be determined based on various factors including, but not limited to, years of relevant experience, job knowledge, skills and proficiency, degree/education, and internal comparators. The Director will serve as the lead statistician for assigned clinical development programs, leading the development and implementation of statistical solutions to support all phases of clinical trials, regulatory filing and facilitating decision-making.
Faculty (Open Rank) (TT), Epidemiology or Biostatistics - Family and Community Medicine - Center for Population Health Sciences University of Texas Health Science Center at HoustonFaculty (Open Rank) (TT), Epidemiology or Biostatistics - Family and Community Medicine - Center for Population Health SciencesHouston, TXMcGovern Medical School at UTHealth Houston invites applications from exceptional investigators researching, assessing risk factors, and improving outcomes for populations, including pediatric, adolescent, adult, and/or geriatric populations, to fill a tenure-track faculty position at the Assistant/Associate/Full Professor level (commensurate with experience) in the Department of Family & Community Medicine. Applicants'' research may be focused on one or more of the following areas:-Population health research-Chronic disease prevention, management, and outcomes-Primary care research-Healthcare delivery and outcomes researchPosition Key Accountabilities:The successful applicant will be expected to maintain an innovative, collaborative, and extramurally funded research program.
Postdoctoral Fellow - Biostatistics University of Texas MD Anderson Cancer CenterPostdoctoral Fellow - BiostatisticsHouston, TX$64,000–$76,000 / yearThe primary research area can encompass: (i) developing and applying novel statistical and computational methods for the analysis of omics data from various sources, such as high-throughput proteomic, genomic, sequencing, transcriptomic, and imaging data, with particular emphasis on developing integrative and flexible models that incorporate both biological knowledge and empirical structures; and (ii) developing novel statistical and machine learning methods for the analysis of proteomics data with focuses on cancer research. The candidate will learn on areas include statistical theory and application in cancer proteomics/genomics; Obtain expertise in the integration of metabolites and proteins for early detection and risk assessment of cancer; Gain experience in cutting-edge analysis of "big data" and novel machine learning algorithms; Acquire extensive experience in R, R-Shiny, Python, and other programming languages/environments.
Biostatistician Baylor College of MedicineBiostatisticianHouston, TX$70,618–$83,080 / yearThe Department of Neurology at Baylor College of Medicine is looking for an experienced Biostatistician to support incoming faculty Dr. Ihab Hajjar. This position will assist with study design, data collection and management, and statistical analyses related to study reporting and hypotheses.
Postdoctoral Associate - Clinical Epidemiology Baylor College of MedicinePostdoctoral Associate - Clinical EpidemiologyHouston, TX$62,232–$64,356 / yearThis position splits time evenly between maintaining data pipelines and conducting analyses for the Global HOPE capacity-building program in Sub-Saharan Africa and conducting epidemiological research on pediatric cancer disparities for patients treated in the US. The Postdoctoral Associate will use R or Python to maintain data pipelines, develop interactive dashboards, perform survival analyses, and conduct research in health outcomes disparities and predictors of treatment success for children with cancer.
Postdoctoral Fellow - Epidemiology University of Texas MD Anderson Cancer CenterPostdoctoral Fellow - EpidemiologyHouston, TX$64,000–$76,000 / yearLearning Objectives: • Implement and apply quantitative methods for analyzing epidemiologic and multi-omic data • Intellectually lead and develop research findings into peer-reviewed manuscripts • Present and communicate results to group members, collaborators, and other local, national, and international scientific audiences • Assist with other research-related tasks as needed • Once well integrated, postdoctoral scholars are strongly encouraged to propose and develop independent research topics. Prior investigative work in the human microbiome research is strongly preferred • Programming skills (R, SAS, or Python) are required, preferably in a cluster computing environment • Early and promising track record of original investigative work (e.g., prior publications and conference presentations) • Excellent written and oral communication skills • The ability to work well in a team and to manage multiple research projects simultaneously.
Postdoctoral Fellow - Bioinformatics & Computational Biology University of Texas MD Anderson Cancer CenterPostdoctoral Fellow - Bioinformatics & Computational BiologyHouston, TX$64,000–$76,000 / yearThis computational postdoctoral fellow candidate is expected to leverage single-cell/bulk-cell multi-omics, spatial omics, and pathological imaging data to reveal the cancer-specific mechanisms underlying the differential efficacies and toxicities of treatments across patients. The postdoctoral fellow will achieve the following learning goals: Develop rigorous and reproducible statistical and machine learning methods for integrating multi-modality cancer datasets, with strong benchmarking and uncertainty awareness, and deliver these methods as well-documented computational tools.
Postdoctoral Fellow - Bioinformatics & Computational Biology MD AndersonPostdoctoral Fellow - Bioinformatics & Computational BiologyHouston, TX$64,000–$76,000 / yearThe postdoctoral fellow will achieve the following learning goals: (1) develop rigorous and reproducible statistical and machine learning methods for integrating multi-modality cancer datasets, with strong benchmarking and uncertainty awareness, and deliver these methods as well documented computational tools; (2) build AI pathology models that convert tissue morphology into quantitative features to support downstream molecular interpretation, including deconvolution and harmonization approaches for robust comparison across patients, cohorts, and tissue types; (3) create agentic AI workflows that automate analysis from data ingestion and quality control to interpretation and report generation, with emphasis on transparency, auditability, and scalability on high performance computing systems; (4) conduct integrative modeling of 3D genome organization and cross platform cell surface protein measurements to improve gene regulation insight and cell type and state characterization; (5) develop professional skills through structured mentorship in manuscript writing, scientific communication, and career development applications, including K99 R00 and Damon Runyon. This computational postdoctoral fellow candidate is expected to leverage single-cell/bulk-cell multi-omics, spatial omics, and pathological imaging data to reveal the cancer-specific mechanisms underlying the differential efficacies and toxicities of treatments across patients.
Biostatistician - School of Public Health University of Texas Health Science Center at HoustonBiostatistician - School of Public HealthHouston, TXMinimum Education:Master''s Degree in related health science required Doctorate Degree - PhD preferredMinimum Experience:2 years of statistician experience required Experience in data analysis of large administrative datasets (claims, registries, EMR) and observational studies required SAS experienced preferredPhysical Requirements:Exerts up to 50 pounds of force occasionally and/or up to 20 pounds frequently and/or up to 10 pounds constantly to move objects. Our total rewards package includes the benefits you'd expect from a top healthcare organization (benefits, insurance, etc.), plus: 100% paid medical premiums for our full-time employees Generous time off (holidays, preventative leave day, both vacation and sick time - all of which equates to around 37-38 days per year) The longer you stay, the more vacation you'll accrue!
Post Doctoral Fellow - Psychology University of HoustonPost Doctoral Fellow - PsychologyHouston, TX$49,400–$56,200 / yearMQ: Requires singular knowledge of a specialized advanced professional discipline or the highest level of general business knowledge, normally acquired through attainment of a directly job-related terminal degree or equivalent formal training in a recognized field of specialization that is directly related to the type of work being performed. The Clinical Research Center for Developmental Language Disorder at the University of Houston is seeking a highly skilled Postdoctoral Fellow to provide advanced epidemiological and biostatistical support for a large-scale, NIH-funded multi-year longitudinal epidemiological study.
Medicine - Health Services Research (Assistant/Associate Professor) Baylor College of MedicineMedicine - Health Services Research (Assistant/Associate Professor)Houston, TXThis position is based within IQuESt (Center for Innovations in Quality, Effectiveness and Safety), the largest health systems research center in the Southwest, dedicated to improving patient outcomes through high-quality, patient-centered research. This role serves as a key faculty position providing methodological leadership, supporting grant development, conducting advanced analyses, and contributing to the institution's mission through research, mentorship, and service.
Postdoctoral Fellow - Cancer Prevention Training Program University of Texas MD Anderson Cancer CenterPostdoctoral Fellow - Cancer Prevention Training ProgramHouston, TX$64,000–$76,000 / yearThey will acquire and apply knowledge of the drivers of persistent poverty and their impact on health to solutions, develop skills in research methods used in community settings to design and implement effective interventions against obesity-related cancers, and foster key professional skills needed by scientist-advocates for success in the field. The fellowship emphasizes acquiring and applying knowledge of the drivers of persistent poverty and their impact on health, developing skills in research methods used in community settings to design and implement interventions against obesity-related cancers, and fostering professional skills of scientist-advocates for success.