Principal Data Scientist

Thermo Fisher Scientific

Principal Data Scientist at Thermo Fisher utilizing data science and AI for patient healthcare insights. Collaborating with experts to enhance decision support for healthcare clients.

Posted 4/29/2026full-timeRemote • North Carolina • 🇺🇸 United StatesLead💰 $185,000 - $215,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudPythonSparkSQL

About the role

Key responsibilities & impact

Serve as a senior technical expert across the full analytics lifecycle, including problem framing, data strategy, model development, validation, deployment, and monitoring
Set and uphold high standards for modeling rigor, reproducibility, and engineering quality across the data science team
Mentor data scientists and engineers, review code and modeling approaches, and raise the technical bar on projects without owning delivery management
Evaluate emerging methods, tools, and frameworks, and guide adoption where they add measurable value
Build predictive and descriptive models on patient-level healthcare data to support use cases such as patient stratification, risk prediction, text analytics, workflow prioritization, and decision support
Identify and implement high-value applications of generative AI to improve analytics productivity, scientific review, knowledge retrieval, and internal and client-facing workflows
Partner with RWE scientists, epidemiologists, statisticians, data engineers, product owners, and consulting teams to translate scientific and business questions into sound analytical approaches.

Requirements

What you’ll need

Bachelors degree in data science, computer science, statistics, biostatistics, epidemiology, mathematics, bioinformatics, or a related quantitative field
Previous experience in data science that provides the knowledge, skills, and abilities to perform the job (comparable to 8-10 years’ experience)
Hands-on experience applying ML and advanced analytics to real-world healthcare data such as claims, EHR, registries, or other patient-level longitudinal datasets
Strong programming skills in Python and SQL; working proficiency in R
Solid grounding in statistical modeling, machine learning, and model evaluation
Experience working in modern cloud and data platforms such as Databricks, Spark, AWS, Azure, or Snowflake
Strong software engineering fundamentals, including version control, modular code, testing, documentation, and reproducibility
Strong written and verbal communication skills, with the ability to present methods and findings clearly to diverse audiences.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible working hours
Paid time off
Professional development opportunities
Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningstatistical modelingmodel evaluationdata strategypredictive modelingdescriptive modelingtext analyticsgenerative AIPythonSQL

Soft Skills

mentoringcommunicationproblem framingcollaborationtechnical reviewstandards settinganalytical thinkingpresentation skillsleadershiporganizational skills