Top 111 Science Data Engineer Jobs

Senior Clinical Data Research Engineer
Cytovale —Remote
- $150,000 - $175,000 a year
- Full-time
- Remote
- 5 years
- Master's degree
- SQL
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Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
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Leidos —Chantilly, VA
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CACI —Chantilly, VA
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Puttshack - Philadelphia —Pittsburgh, PA
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DeepVu —Berkeley, CA
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OxeFit, Inc. —Plano, TX
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Sr. Data Researcher Engineer
Dolby —Atlanta, GA
- $140,500 - $170,300 a year
- Full-time
- Hybrid work
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Research Engineer, Multimodal Data
Eventual —San Francisco, CA
- $150,000 - $250,000 a year
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- Health insurance
Data Scientist / Data Analytics Engineer
Transflo —Remote
- Computer Science
- DevOps
- Master's degree
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Staff Data Research Engineer
Dolby —Atlanta, GA
- $180,800 - $209,200 a year
- Full-time
- Hybrid work
- Computer science
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Senior Clinical Data Research Engineer

Cytovale
Remote

Quick Apply

Job Details

Full-time
$150,000 - $175,000 a year

Qualifications

Biostatistics-based research
NumPy
Survival analysis
SQL
Pandas
Bachelor's degree
Regression analysis
Statistical significance testing
Data analysis software
Database software proficiency

Full Job Description

The Senior Clinical Data Research Engineer will be an individual contributor in the Medical Affairs department. The role will encompass data analysis and curation from multiple large clinical datasets to inform internal reports, external presentations, manuscripts, and publications, and to inform future clinical trial design.

This is a remote role.

Responsibilities:

Interpret clinical case reports and develop an understanding of clinical science of immune-mediated conditions, including sepsis, to inform study design and content of case report forms
Support the design, interpretation, reporting, and publication of clinical studies, including detailed participation in clinical endpoint design and process, supporting EDC builds, and study execution.
Perform data analysis and develop data-driven models for disease and outcome trends, value proposition, and assay clinical utility
Support quality improvement activities for customers by building systems and tools for post-implementation data analysis
Utilize data to track the performance and effectiveness of the IntelliSep solution in improving clinical outcomes, operational efficiency, and financial performance, and provide insights into customer-related metrics and the potential impact on patient outcomes and hospital reimbursement
Collaborate with cross-functional teams to gather data and gain insights into current-state workflows and performance related to sepsis management and clinical workflows within the emergency department
Appropriately apply visualization best practices and data storytelling techniques and deliver a clear and concise presentation of findings tailored to the audience
Develop documentation and methodologies for analyses and deliverables
Develop statistical models using clinical and biological data to inform clinical trial design
Write statistical analysis plans, including statistical methodology and programming procedure
Contribute analysis and graphs to educational and marketing materials, company reports, and scientific publications

Qualifications:

Bachelor’s degree required in biomedical engineering, bioengineering, or a related field; Master's or PhD preferred, particularly in a quantitative or life sciences discipline
5+ years of medical device related experience working with clinical data and complex diseases
Proficiency in coding for data analysis using Python, including data science packages and tools (pandas, numpy, matplotlib, scikit-learn) required. Experience with SQL and relational databases required. Familiarity with AI/ML tools and large language model (LLM) applications a plus
Strong analytical skills with the ability to interpret and present data effectively
Experience with designing research studies and interpreting data
Knowledge of statistics at the level needed for scientific publications (t-tests, survival analysis, regressions, etc.) is required; a deep background in statistics is a plus
A strong desire to work in a small, fast-paced environment of a late-stage startup
Candidate must be able to function as an individual contributor with minimal direct oversight
A passion for understanding complex issues with a data-driven approach, experimenting, and iterating on different ways to solve a problem.

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Refine Your Search

Science Data Engineer jobs

Senior Clinical Data Research Engineer

Meteorologist Data Engineer

Software Engineer/Data Scientist (full- and part-time)

Machine Learning Engineer / Data Scientist

AI Engineer/Data Scientist

2026 PhD Graduate - AI/ML Data Scientist/Engineer - Analytic Capabilities

Senior Software Engineer / Data Scientist (Training Systems)

Data Scientist/Sustainment Engineer

Research Engineer - Environments, Data and Post-Training

Data Scientist and AI Engineer

Entry Level Data Scientist Engineer

Data Scientist/AI Engineer

Principle Engineer in Big Data

Principle Engineer in Data Analysis

Artificial Intelligence or Big Data Engineer

Data Scientist / AI Engineer (Agentic Systems & Analytics)

Sr. Data Researcher Engineer

Research Engineer, Multimodal Data

Data Scientist / Data Analytics Engineer

Staff Data Research Engineer

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