Experienced Data Scientist, Advanced Analytics – MedTech Quality & Compliance

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Experienced Data Scientist, Advanced Analytics - MedTech Quality & Compliance in the United States.

This role sits at the intersection of data science, healthcare innovation, and regulated quality systems, where advanced analytics directly supports the reliability and safety of medical technologies. You will join a collaborative, cross-functional environment working alongside engineers, statisticians, clinicians, and compliance experts to transform complex datasets into actionable insights. The position focuses on building predictive models, automating data pipelines, and enabling smarter decision-making across MedTech quality and compliance operations. You will also explore emerging technologies such as generative AI to enhance analytics capabilities and process efficiency. With strong visibility across multiple business units, your work will directly improve data accessibility, operational excellence, and patient outcomes. This is a high-impact role combining technical depth, innovation, and real-world healthcare value in a fast-paced, regulated environment.

Accountabilities

You will contribute to the design, development, and deployment of advanced analytics solutions that strengthen quality and compliance systems across MedTech businesses. Working in close collaboration with cross-functional stakeholders, you will translate complex data challenges into scalable analytical products and automation tools.

• Develop, validate, and deploy machine learning models to generate predictive insights and solve business problems in quality and compliance environments
• Design and implement scalable data pipelines and analytics workflows using Python, R, and SQL
• Perform data wrangling, statistical analysis, NLP, and text mining on large, complex datasets
• Build dashboards, visualizations, and presentations to communicate insights to both technical and non-technical audiences
• Identify opportunities for process optimization, automation, and improved data accessibility
• Explore and apply generative AI techniques to enhance analytics capabilities and operational efficiency
• Ensure accuracy, integrity, and reproducibility of analytical outputs in a regulated environment
• Collaborate with data engineers, statisticians, clinicians, and business stakeholders on end-to-end analytics initiatives
• Support ad hoc analytical requests and contribute to rapid-turnaround projects of varying complexity
• Stay current with emerging data science methodologies and implement best practices across projects

Requirements

This role requires strong technical expertise in data science and analytics, combined with the ability to operate in a regulated, cross-functional healthcare environment. You are a proactive problem solver with excellent communication skills and a strong foundation in statistical and machine learning methods.

• Bachelor’s degree in Data Science, Statistics, Business Analytics, Life Sciences, Engineering, or a related technical field
• Minimum 4+ years of relevant experience in data science, advanced analytics, or computational sciences
• Strong proficiency in Python, R, and SQL, including data manipulation and analysis libraries
• Solid understanding of statistical modeling, machine learning, and predictive analytics techniques
• Experience working with large, complex datasets and building scalable analytical solutions
• Ability to develop clear data visualizations, reports, and executive-level presentations
• Strong analytical thinking, problem-solving, and attention to detail
• Ability to manage multiple priorities in a fast-paced, regulated environment
• Excellent written and verbal communication skills with the ability to explain technical insights clearly
• Experience with data validation, software testing, or R package development is a plus
• Familiarity with healthcare, medical device, or quality systems environments is preferred

Benefits

• Competitive base salary ranging from approximately $92,000 to $148,350 annually (U.S.-based roles)
• Eligibility for annual performance-based bonus programs
• Comprehensive health coverage including medical, dental, and vision insurance
• Short-term and long-term disability, life insurance, and business accident coverage
• Retirement savings programs including 401(k) and pension plan eligibility
• Paid time off including vacation, sick leave, holidays, and floating holidays
• Flexible work arrangements, including remote options (role-dependent)
• Employee assistance programs and wellness support resources
• Professional development opportunities in a highly innovative, science-driven environment

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.