Senior Data Scientist (Remote - Ohio)

Jobgether; Kentucky; Remote; USD 90,000 - 130,000; Full time

Job summary

A healthcare analytics company is seeking a Senior Data Scientist to design algorithms and analyze data in a remote capacity. This role involves utilizing cutting-edge analytics and machine learning techniques to address healthcare challenges. Candidates should hold a Master’s degree in Data Science or related field with at least 5 years of experience, or a PhD. Strong skills in TDA, machine learning, and data storytelling are essential, alongside excellent communication and organizational abilities.

Benefits

Full-time remote work flexibility

Competitive compensation

Collaborative work culture

Professional development opportunities

Accommodations for individuals with disabilities

Qualifications

• 5+ years of experience in Data Science or a PhD in a relevant discipline.
• Strong academic background in statistics, analytics, computer science, or computational geometry.
• Ability to work independently and collaboratively in a remote, professional setting.

Responsibilities

• Design advanced algorithms and predictive models to analyze clinical and operational trends.
• Clean, integrate, and maintain multi-source data to ensure research-quality standards.
• Apply topological data analysis (TDA) to real-world aeromedical problems.

Skills

Expertise in Topological Data Analysis (TDA)

Machine learning

Data storytelling

Proficient in SQL

Proficient in ORACLE

Excellent organizational skills

Excellent analytical skills

Excellent communication skills

Education

Master’s degree in Data Science or related field

PhD in relevant discipline

Tools

Modern data science toolkits

Job description

Overview

This position is posted by Jobgether on behalf of SierTeK. We are currently looking for a Senior Data Scientist in Beavercreek, OH.

Join a mission-driven role where your expertise in data science will directly support clinical and operational advancements for a high-impact aeromedical division. You’ll work in a fast-paced, collaborative environment that blends applied research, data modeling, and innovation to drive meaningful insights. Your contributions will be instrumental in solving complex healthcare challenges using cutting-edge analytics and machine learning techniques. This is a remote opportunity tailored for professionals who thrive at the intersection of technology, research, and real-world application.

Accountabilities

• Design advanced algorithms and predictive models to analyze clinical and operational trends.
• Clean, integrate, and maintain multi-source data to ensure research-quality standards.
• Apply topological data analysis (TDA) and other advanced methods to real-world aeromedical problems.
• Draft and review scientific research protocols, proposals, and manuscripts.
• Collaborate closely with government officials, healthcare experts, and researchers.
• Participate in academic and professional meetings, contributing domain expertise and insights.
• Continuously engage with relevant scientific literature to stay current on innovations.

Qualifications

• Master’s degree in Data Science or a related field with 5+ years of experience, or a PhD in a relevant discipline.
• Strong academic background in statistics, analytics, computer science, or computational geometry.
• Expertise in Topological Data Analysis (TDA), machine learning, and data storytelling.
• Proficient in SQL, ORACLE, and modern data science toolkits.
• Ability to work independently and collaboratively in a remote, professional setting.
• Excellent organizational, analytical, and communication skills.
• NDA compliance is required before starting due to the sensitivity of the data.

Preferred

• Publication history in Computational Geometry or TDA; experience in military or government research environments.

Benefits

• Full-time remote work flexibility.
• Competitive compensation aligned with experience and qualifications.
• Opportunities for impactful research in a federally supported setting.
• Collaborative work culture with professional development opportunities.
• Inclusive and equal opportunity employer environment.
• Accommodations available for individuals with disabilities upon request.

Thank you for your interest!