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Senior Data Scientist

  • Job type Posted on: Jul 15, 2026
  • Experience level Nexia
  • Employment type Oklahoma City, Oklahoma
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Senior Data Scientist

Job Type :

Full-time

Job Location :

Oklahoma City Oklahoma United States

Remote :

No

Jobcon Logo Job Description :

Direct message the job poster from Nexia Removing Recruitment Stress in Life Sciences - Director at Nexia My client is an exciting pharma-tech company at the intersection of AI and healthcare, focused on accelerating the discovery and development of precision therapies to improve patient outcomes. Operating at the cutting edge of computational science and oncology, they are building solutions that extract meaningful insights from complex biological and clinical data. They are currently seeking a Senior Data Scientist to join their multidisciplinary team. This is an opportunity to contribute to impactful research and product development in a fast-paced, collaborative environment. Responsibilities Design and implement machine learning and statistical models to analyse high-dimensional biomedical data. Partner with scientists, clinicians, and engineers to define data-driven strategies and build end-to-end analytical pipelines. Translate complex scientific questions into structured data science problems with actionable outcomes. Contribute to the development of novel algorithms and ensure reproducibility and scalability in analytical workflows. Communicate findings clearly to both technical and non-technical stakeholders through presentations and visualizations. Requirements PhD (or equivalent experience) in Data Science, Computational Biology, Bioinformatics, Computer Science, or a related field. 5+ years of hands-on experience applying machine learning in a research or industry setting, preferably within healthcare or life sciences. Strong background in working with large, complex datasets, including both structured and unstructured data. Deep scientific curiosity and a passion for driving impact in human health. Excellent communication skills and the ability to thrive in a highly collaborative, interdisciplinary team. Seniority level Mid-Senior level Employment type Full-time Job function Research and Science Industries Biotechnology Research Pharmaceutical Manufacturing Hospitals and Health Care #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 15, 2026

Reference Number:

14660_B09931EF170B7DF184CF0D514BA26575

Employment:

Full-time

Salary:

Not Available

City:

Oklahoma City

Job Origin:

APPCAST_CPC

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Direct message the job poster from Nexia Removing Recruitment Stress in Life Sciences - Director at Nexia My client is an exciting pharma-tech company at the intersection of AI and healthcare, focused on accelerating the discovery and development of precision therapies to improve patient outcomes. Operating at the cutting edge of computational science and oncology, they are building solutions that extract meaningful insights from complex biological and clinical data. They are currently seeking a Senior Data Scientist to join their multidisciplinary team. This is an opportunity to contribute to impactful research and product development in a fast-paced, collaborative environment. Responsibilities Design and implement machine learning and statistical models to analyse high-dimensional biomedical data. Partner with scientists, clinicians, and engineers to define data-driven strategies and build end-to-end analytical pipelines. Translate complex scientific questions into structured data science problems with actionable outcomes. Contribute to the development of novel algorithms and ensure reproducibility and scalability in analytical workflows. Communicate findings clearly to both technical and non-technical stakeholders through presentations and visualizations. Requirements PhD (or equivalent experience) in Data Science, Computational Biology, Bioinformatics, Computer Science, or a related field. 5+ years of hands-on experience applying machine learning in a research or industry setting, preferably within healthcare or life sciences. Strong background in working with large, complex datasets, including both structured and unstructured data. Deep scientific curiosity and a passion for driving impact in human health. Excellent communication skills and the ability to thrive in a highly collaborative, interdisciplinary team. Seniority level Mid-Senior level Employment type Full-time Job function Research and Science Industries Biotechnology Research Pharmaceutical Manufacturing Hospitals and Health Care #J-18808-Ljbffr

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