Principal Data Scientist

OverviewThe Principal Data Scientist within the Immunotherapy Platform (IMT) will serve as an expert and lead the design and development of the computational methods for advanced research and development in numerical analysis, mathematical modeling and data processing techniques. The primary duties are overseeing the bioinformatics and data scientist group to analyze data from clinical trials at IMT, working closely with the Directors of Immunmonitoring and Pathology teams at IMT, and collaborating with the Institute for Data Science in Oncology (IDSO) and other internal/external collaborators.Job CompetenciesData AnalysisServes as an expert and leads the development of algorithms and novel strategies to analyze and visualize large-scale multi-omics datasets from internal and publicly available datasets for biomarker discoveryDesigns and guides feasibility analyses of new assays in conjunction with assay developmentPresent bioinformatics analyses to pharmaceutical and MD Anderson collaboratorsOversee the generation of detailed and well-organized documentation of analysis and methods. Compose bioinformatics analysis and methods sections for manuscripts and grant applicationsManage data storage and reporting for the platform and publications as neededExplore and implement cutting-edge approaches to the analysis of datasets. Independently review literature to integrate advanced bioinformatics, statistics, and immunology researchEnsure hardware and software requirements are outlined and met for high-throughput data storage, software upgrades, and analysisCollaboration/AllianceContribute to a highly collaborative work environment toward the research goals of the Immunotherapy Platform, participating in brainstorming, planning, and data sharing sessionsCollaborate with peers from cross-functional teams to analyze and interpret complex large datasets and communicate findingsSupervisionLead and mentor a team of qualified computational scientists; Provide training and education in statistical and bioinformatics analysis of multi-omics datasets such as CODEX, CosMx, GeoMx, scRNA and DNA sequencing, including TCR/BCR sequencing, ATAC-seq, whole exome sequencing to support target discovery and translational researchOther duties as assignedWorking ConditionsWORKING CONDITIONS FrequencyDeadlinesPhysical ProximitySedentary EnvironmentTravelingExposure to blood, bodily fluids, and/or tissueExposure to RadiationHazardous Chemicals and MaterialsOperating EquipmentWearing Protective EquipmentConstant 67-100%Constant 67-100%Occasionally 11-33%Occasionally 11-33%Rarely1-2%Seldom 3-10%Seldom 3-10%Seldom 3-10%PHYSICAL DEMANDS FrequencyWeightArm/Hand SteadinessBalancingBending/StoopingCarryingDepth PerceptionDynamic FlexibilityEye/Hand CoordinationHandlingKeyboardingLiftingNeck MovementsPushing/PullingReachingSittingStandingTwistingWalkingVisual Color DiscriminationFine finger movementTactile PerceptionConstant 67-100%Constant 67-100%Rarely1-2%Occasionally 11-33%Constant 67-100%Occasionally 11-33%Constant 67-100%Constant 67-100%Constant 67-100%Occasionally 11-33%Constant 67-100%Seldom 3-10%Occasionally 11-33%Constant 67-100%Occasionally 11-33%Rarely1-2%Occasionally 11-33%Frequent 34-66%Frequent 34-66%Occasionally 11-33%20-50 lbs20-50 lbs20-50 lbsEducationRequired: Bachelor’s degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.Preferred: Master’s degree or PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.ExperienceRequired: Seven years of experience in scientific software or industry programming with a concentration in scientific computing. With Master’s degree, five years experience required. With PhD, three years of experience required.Preferred: Computational experience. Strong statistics background as well as bioinformatics postdoctoral research experience; extensive expertise on high performance computing clusters; proven academic record with first or co-first author publications on high profile journals.It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law.Additional InformationRequisition ID: 176361Employment Status: Full-TimeEmployee Status: RegularWork Week: DaysMinimum Salary: USD 146,500Midpoint Salary: USD 183,000Maximum Salary: USD 219,500FLSA: exempt and not eligible for overtime payFund Type: SoftWork Location: Hybrid Onsite/RemotePivotal Position: YesReferral Bonus Available?: YesRelocation Assistance Available?: Yes #J-18808-Ljbffr

Created: 2025-09-17