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Clinical Data Science Jobs in Texas (NOW HIRING)

Moffitt

... science ... ICADS brings together expert mentors from across Moffitt's discovery, clinical, translational ...

Alimentiv

Manager, Clinical Data Management

Dallas, TX · On-site

$99K - $166K/yr

We're looking for a strong people leader to join our Data Sciences Department responsible for end ... programming to ensure clinical databases are designed in a standard, accurate, complete, and ...

Alimentiv

Manager, Clinical Data Management

Austin, TX · On-site

$99K - $166K/yr

We're looking for a strong people leader to join our Data Sciences Department responsible for end ... programming to ensure clinical databases are designed in a standard, accurate, complete, and ...

Aledade

Clinical Informaticist

Austin, TX · On-site +1

Working at the intersection of clinical knowledge and data engineering, you will collaborate with engineers, product managers, data scientists, and clinical operations teams to build and maintain ...

Aledade

Clinical Informaticist

Austin, TX

Working at the intersection of clinical knowledge and data engineering, you will collaborate with engineers, product managers, data scientists, and clinical operations teams to build and maintain ...

Stanford Health Care

Data Scientist - AI/ML

Alto, TX

$79.21 - $104.97/hr

... science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes. Reporting to the Data ...

Central Health

Principal Data Scientist

Austin, TX · Hybrid

While the Sr. Director leads overall AI strategy, implementation and deployment, this role ensures that the underlying data science is sound, reproducible, ethical, and clinically meaningful. This ...

Abbott

Research Scientist II

Plano, TX · On-site

Collaborate with cross-functional teams across R&D, Clinical, Regulatory, Data Science, and Engineering organizations. * Engage with academic institutions, clinical investigators, and external ...

Abbott

Research Scientist II

Plano, TX · On-site

Collaborate with cross-functional teams across R&D, Clinical, Regulatory, Data Science, and Engineering organizations. * Engage with academic institutions, clinical investigators, and external ...

Abbott

Research Scientist II

Plano, TX

Collaborate with cross-functional teams across R&D, Clinical, Regulatory, Data Science, and Engineering organizations. * Engage with academic institutions, clinical investigators, and external ...

Pwc

Payer Healthcare Data Scientist, Manager

Houston, TX · On-site

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

Pwc

Payer Healthcare Data Scientist, Manager

Dallas, TX · On-site

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

Pwc

Payer Healthcare Data Scientist, Manager

Austin, TX · On-site

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

American Heart Association

Data Warehouse Developer

Dallas, TX · On-site +1

$45.25 - $62/hr

Works as a part of a dynamic team of biomedical researchers, database designers, data scientists, statisticians, software developers, quality research and health IT team members, and clinical data ...

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Clinical Data Science information

See Texas salary details

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$53

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How much do clinical data science jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for clinical data science in Texas is $53.26, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $63.37 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a clinical data scientist?

To thrive as a Clinical Data Scientist, you need a solid background in statistics, data analysis, and life sciences, often supported by a degree in biostatistics, computer science, or a related field. Familiarity with programming languages like Python or R, clinical trial data management systems, and knowledge of regulatory requirements such as GCP and CDISC standards are essential. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with clinical and research teams. These competencies are crucial for ensuring data integrity, regulatory compliance, and valuable insights that drive evidence-based healthcare decisions.

What are the typical collaborative interactions between clinical data scientists and other departments in a healthcare or pharmaceutical organization?

Clinical Data Scientists regularly collaborate with clinical research associates, statisticians, data managers, and regulatory affairs teams. These interactions are essential for ensuring high-quality data collection, analysis, and interpretation throughout clinical trials. You may participate in cross-functional meetings, contribute to protocol development, and help design data management strategies that comply with regulatory standards. Effective communication and teamwork are important skills, as much of the role involves translating technical findings into actionable insights for non-technical stakeholders.

What is clinical data science?

Clinical data science is a field that focuses on collecting, analyzing, and interpreting data from clinical trials and healthcare settings to improve patient outcomes and advance medical research. Professionals in this area use statistical methods, programming, and domain knowledge to ensure the quality and integrity of clinical data. Their work supports evidence-based decision-making in medicine and helps bring new therapies to market safely and efficiently.

What is the difference between Clinical Data Science vs Data Analyst?

AspectClinical Data ScienceData Analyst
Required CredentialsDegree in Data Science, Biostatistics, or related field; knowledge of healthcare dataDegree in Statistics, Mathematics, or related field; proficiency in data tools
Work EnvironmentHealthcare settings, research institutions, pharmaceutical companiesBusiness, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed in clinical trials, healthcare research, drug developmentUsed across various industries for business insights and reporting

Clinical Data Science focuses on analyzing healthcare and clinical trial data to support medical research and drug development, often requiring specialized healthcare knowledge. Data Analysts handle a broader range of data analysis tasks across industries, emphasizing business insights. While both roles involve data manipulation and statistical skills, Clinical Data Scientists typically work within healthcare settings on complex clinical data, whereas Data Analysts serve diverse sectors with general data reporting needs.

What are popular job titles related to Clinical Data Science jobs in Texas? For Clinical Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Clinical Data Science jobs in Texas look for? The top searched job categories for Clinical Data Science jobs in Texas are:
Clinical Data Science jobs near you
Infographic showing various Clinical Data Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $110,782 per year, or $53.3 per hour.

Lead Data Scientist - Healthcare

Tiger Analytics Inc.

Dallas, TX • On-site

Full-time

Posted 14 days ago

Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding.

Key Responsibilities

  • Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes.
  • Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets.
  • Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models.
  • Analyze healthcare datasets including claims, patient, provider, operational, or clinical data.
  • Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions.
  • Monitor model performance, retrain models, and optimize algorithms for production environments.
  • Mentor junior data scientists and provide technical leadership across the project.
  • Ensure compliance with healthcare data privacy and governance standards.
  • 8–10 years of experience in Data Science / Machine Learning roles.
  • Strong hands-on expertise in Forecasting models (time series, demand forecasting, predictive analytics).
  • Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Proven experience building Generative AI / Explainability models using LLMs, SHAP, LIME, or similar frameworks.
  • Mandatory experience working in the Healthcare domain.
  • Strong programming skills in Python, SQL, and ML libraries.
  • Experience with cloud platforms such as AWS, Azure, or GCP preferred.
  • Excellent stakeholder communication and leadership skills.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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