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Clinical Data Science Jobs in Texas (NOW HIRING)

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

Research Scientist II

Plano, TX · On-site

  • Medical

  • Retirement

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

Research Scientist II

Plano, TX · On-site

  • Medical

  • Retirement

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

Payer Healthcare Data Scientist, Manager

Houston, TX · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Payer Healthcare Data Scientist, Manager

Dallas, TX · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Payer Healthcare Data Scientist, Manager

Austin, TX · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Data Warehouse Developer

Dallas, TX · On-site +1

$45.25 - $62/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data Warehouse Developer

Dallas, TX · On-site

$45.25 - $62/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data Warehouse Developer

Dallas, TX · On-site +1

$48.75 - $66.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data Scientist

San Antonio, TX · On-site

$110 - $150/hr

  • Medical

  • Retirement

This role will independently develop and deliver data science and AI solution components while ... Partner with clinical, operational, technical, and client stakeholders to gather requirements ...

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Showing results 41-60

Clinical Data Science information

See Texas salary details

$18

$53

$76

How much do clinical data science jobs pay per hour?

As of Aug 13, 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.

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.

Full-time

Medical, Retirement

Posted 12 days ago


Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

178th of 538 rated manufacturers


Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:

Job Title

Research Scientist II, Neuroscience (Molecular Biology, AI & Adaptive Neurotechnology)

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You'll also have access to:

  • Career development with an international company where you can grow the career you dream of.
  • Employees can qualify forfree medical coverage in ourHealth Investment Plan (HIP) PPOmedical plan in the next calendar year.
  • An excellent retirement savings plan with a high employer contribution.
  • Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree.
  • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
  • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This position works out of our Plano, TX location in the Neuromodulation division. Abbott Neuromodulation is advancing next-generation therapies for chronic pain, movement disorders, and other neurological conditions through innovative bioelectronic medicine, digital health technologies, and intelligent neuromodulation systems. We are seeking a Research Scientist II with strong molecular biology, cellular neuroscience, tissue engineering, or related life sciences expertise and an AI-first mindset to support translational research at the intersection of biology, neural systems, and implantable medical devices.

This role will contribute to the discovery and development of biological, digital, and multimodal biomarkers that may inform future adaptive (closed-loop) neuromodulation therapies. The successful candidate will help generate high-quality biological datasets, investigate mechanisms of neural modulation, and support the integration of molecular, electrophysiological, imaging, and clinical data to enable more personalized, data-driven treatment approaches.

The individual will collaborate with internal R&D teams and external academic, clinical, and industry partners globally to accelerate scientific innovation and translational research initiatives.

What You'll Work On

Translational Neuroscience & Biological Research

  • Support preclinical and translational neuroscience research programs focused on neuromodulation mechanisms, therapeutic target discovery, and biomarker identification.
  • Design, execute, and optimize molecular and cellular biology experiments.
  • Conduct cellular, tissue-level, and in-vitro studies to investigate biological responses to neural stimulation.
  • Analyze gene, protein, and cellular pathway changes associated with neural activity, disease states, and therapeutic outcomes.
  • Support development of novel in-vitro screening platforms and biologically relevant research models.
  • Assist in translating biological discoveries into clinically relevant neuromodulation applications.

Biomarker Discovery & Adaptive Neurotechnology

  • Contribute to discovery and validation of molecular, physiological, and digital biomarkers associated with therapeutic response.
  • Support development of biological inputs that may inform future adaptive (closed-loop) neuromodulation systems.
  • Assist in correlating molecular findings with electrophysiological, imaging, device-generated, and clinical datasets.
  • Participate in research efforts exploring mechanisms underlying personalized neuromodulation therapies.

AI, Data Science & Multimodal Research

  • Apply an AI-first approach to experimental design, data generation, annotation, structuring, and interpretation.
  • Contribute to development of AI-ready multimodal datasets integrating biological, electrophysiological, imaging, and clinical data.
  • Partner with computational scientists, data scientists, and engineers to support machine learning and advanced analytics initiatives.
  • Maintain high-quality, well-characterized datasets suitable for downstream AI and predictive modeling applications.
  • Support generation of data standards, metadata frameworks, and research workflows that enhance reproducibility and future analytics capabilities.

Collaboration & Scientific Communication

  • Collaborate with cross-functional teams across R&D, Clinical, Regulatory, Data Science, and Engineering organizations.
  • Engage with academic institutions, clinical investigators, and external research collaborators globally.
  • Prepare technical reports, scientific presentations, publications, and supporting documentation.
  • Present findings to internal stakeholders and external scientific audiences as appropriate.
  • Stay current on advances in neuroscience, AI-enabled biology, bioelectronic medicine, precision medicine, and adaptive neurotechnology.

Required Qualifications

  • Master's degree (MSc) in Neuroscience, Molecular Biology, Biomedical Engineering, Cellular Biology, Bioengineering, or related field.
  • 1-3 years of relevant laboratory or translational research experience following degree completion.
  • Hands-on experience in several of the following areas:
    • RNA/DNA extraction, processing, and analysis
    • Gene expression analysis
    • Protein characterization and biochemical assays
    • Mammalian cell culture
    • Cellular neuroscience techniques
    • In-vitro assay development
    • Electrophysiology or neural recording methods
  • Strong experimental design, problem-solving, and analytical skills.
  • Interest in AI-enabled, data-driven scientific research approaches.
  • Ability to work effectively in multidisciplinary and matrixed environments.
  • Strong written and verbal communication skills.

Preferred Qualifications

  • PhD in Neuroscience, Molecular Biology, Biomedical Engineering, Bioengineering, Cellular Biology, or related discipline.
  • Research experience in neuroscience, neurobiology, neuroengineering, or translational medicine.
  • Familiarity with one or more of the following:
    • Transcriptomics
    • Proteomics
    • Single-cell analysis
    • Immunohistochemistry (IHC)
    • Advanced microscopy and imaging techniques
    • Preclinical CNS models
    • Microfluidics
    • Biomaterials
    • Bio-MEMS technologies
    • Tissue engineering
  • Exposure to neuromodulation, neurostimulation, bioelectronic medicine, neural interfaces, or implantable medical devices.
  • Experience working with multimodal datasets that combine biological, neural, imaging, and/or clinical information.
  • Working knowledge of Python, R, MATLAB, or equivalent scientific computing environments.
  • Familiarity with machine learning workflows, data annotation methodologies, or AI-enabled research tools.
  • Record of scientific publications, conference presentations, or collaborative research activities.
  • Experience working with external academic, clinical, or industry research partners.
  • Demonstrated adaptability, scientific curiosity, and ability to thrive in a rapidly evolving research environment.

Apply Now

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott, and on Twitter @AbbottNews.

The base pay for this position is

$61,300.00 - $122,700.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:Research and DiscoveryDIVISION:NM NeuromodulationLOCATION:United States > Texas > Plano : 6901 Preston RoadADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:Not specifiedMEDICAL SURVEILLANCE:Not ApplicableSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous standing for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous walking for prolonged periods (more than 2 hours at a time in an 8 hour day)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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