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Python Phd Hpc Jobs in Texas (NOW HIRING)

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Python Phd Hpc information

What are the key skills and qualifications needed to thrive as a Python PhD HPC (High Performance Computing) specialist, and why are they important?

To excel as a Python PhD HPC specialist, you need advanced knowledge of Python programming, parallel computing concepts, and a doctoral degree in a computationally intensive field. Familiarity with HPC clusters, job schedulers like SLURM, and libraries such as NumPy, SciPy, and MPI for Python is typically required. Strong analytical thinking, problem-solving, and collaboration skills set candidates apart in this role. These competencies ensure efficient development, optimization, and deployment of large-scale computational models that drive scientific research and innovation.

What are the typical challenges faced by a Python PhD HPC professional when working on large-scale computational projects?

Professionals in a Python PhD HPC role often encounter challenges related to optimizing Python code for high-performance computing environments, particularly when scaling computations across multiple nodes or clusters. Managing memory usage, debugging parallel code, and ensuring compatibility with various HPC libraries and frameworks are common hurdles. Additionally, effective collaboration with interdisciplinary teams—such as domain scientists, system administrators, and data engineers—is crucial for project success. Staying updated with advancements in both Python and HPC technologies also requires ongoing learning and adaptability.

What is a Python PhD HPC specialist?

A Python PhD HPC specialist is a professional with a doctoral degree who uses the Python programming language to develop and optimize high-performance computing (HPC) applications. These specialists often work on complex scientific or engineering problems that require significant computational resources, such as simulations, data analysis, or machine learning at scale. They possess deep expertise in both Python programming and HPC environments, including parallel computing, distributed systems, and cluster management. Their work often bridges the gap between theoretical research and practical implementation on supercomputers or large compute clusters.
What are popular job titles related to Python Phd Hpc jobs in Texas? For Python Phd Hpc jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Python Phd Hpc jobs? Cities in Texas with the most Python Phd Hpc job openings:
Research Scientist II - Health and Clinical Outcomes Research

Research Scientist II - Health and Clinical Outcomes Research

UTMB Health

Galveston, TX

Full-time

Posted 7 days ago


UTMB Health rating

7.3

Company rating: 7.3 out of 10

Based on 165 frontline employees who took The Breakroom Quiz

293rd of 870 rated healthcare providers


Job description

DEPT MARKETING STATEMENT:

UTMB’s new Center for Health and Clinical Outcomes Research (H-COR) seeks Research Scientists to advance decision-grade evidence from real-world data to study and understand human health. H-COR leverages Epic EHR (Clarity/Caboodle and Cosmos), TriNetX, Medicare and other administrative data. H-COR has an interest in pairing outcomes research with secure, principled integration of high-dimensional modalities (e. g. , transcriptomics, proteomics, pathogen genomics). Also of interest is the utilization of novel data sources including those derived from social media, mobile phones, wearables, and other digital sources. Researchers at H-COR collaborate across all five UTMB schools

JOB DESCRIPTION:     
Conducts innovative scientific investigation by developing theories and devising scientific methods and procedures to apply scientific principles, theories and research in projects related to the mission of UTMB. Committed to the discovery of new innovative biomedical and health services knowledge leading to increasingly effective and accessible health care. Assures competence as a fully trained scientist in a specific discipline or area of expertise. 


ESSENTIAL JOB FUNCTIONS:

  • Leading and contributing to high-impact health and clinical outcomes research
  • Planning and performing advanced data analyses using UTMB's exceptional data infrastructure, with particular emphasis on electronic health record (EHR) data including EPIC, EPIC Cosmos, TriNetX, and Medicare administrative datasets
  • Building transparent cohort definitions and phenotypes using ICD-10/PCS, CPT/HCPCS, LOINC, and RxNorm
  • Implementing modern causal-inference strategies (e.g., target-trial emulation, robust confounding control, time-to-event and longitudinal models, principled handling of missingness, falsification and sensitivity analyses)
  • Collaborating across UTMB’s schools on defined research programs
  • Contributing to abstracts, manuscripts, and grant applications as PI/Co-I or key personnel
  • Integrating clinical timelines with multi-omics and other high-dimensional data while preserving clinical interpretability and privacy
  • Presenting research at professional meetings and conferences
  • Participating in H-COR's monthly works-in-progress seminars


MINIMUM QUALIFICATIONS:
Ph. D, M.D, D.O., or D.V.M in related field and one year of related experience.


PREFERRED QUALIFICATIONS: 

  • PhD or equivalent doctoral degree in a relevant discipline (health services research, epidemiology, biostatistics, data science, computer science, or a closely related field)
  • A track record in health and clinical outcomes methods
  • Demonstrated expertise analyzing clinical and population-health data with specific experience in EHR analytics
  • Proficiency with large healthcare databases (Epic, Epic Cosmos, TriNetX, Medicare)
  • Fluency in at least two of R, Python, SAS, and SQL
  • Excellent scientific writing and communication
  • Evidence of peer-reviewed publications commensurate with career stage
  • Experience with OMOP and HL7 FHIR data models
  • Hands-on practice with target-trial emulation and advanced propensity and longitudinal methods
  • Clinically oriented NLP and time-aware feature extraction
  • Familiarity with multi-omics data structures and cautious EHR-omics linkage
  • Experience in HPC or cloud settings (e.g., TACC, Azure, AWS) and workflow engines that promote end-to-end reproducibility
  • Mentorship of analysts or trainees
  • A record of effective, cross-disciplinary collaboration in an academic health-sciences environment


SALARY:
Commensurate with experience. 

EQUAL EMPLOYMENT OPPORTUNITY:
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.


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