ATEC Spine Logo

ATEC Spine

Research Data Engineer

Reposted 5 Days Ago
In-Office
Carlsbad, CA
110K-130K Annually
Mid level
In-Office
Carlsbad, CA
110K-130K Annually
Mid level
The role involves building and maintaining data pipelines, ensuring data quality, and collaborating with clinical researchers to provide clean datasets for analysis.
The summary above was generated by AI

We are a US-based company focused on advancing clinical research and medical technologies. We are seeking a Research Data Engineer to support clinical research activities by building and maintaining reliable data pipelines and preparing high-quality datasets for researchers and analysts. This role emphasizes batch data processing, data quality, data transformation and processing and enabling efficient, compliant access to research data.

Essential Duties and Responsibilities

Clinical Research Data Support:

  • Ingest, process, and manage clinical and research datasets from internal and external sources.
  • Design data models and datasets optimized for researcher and analyst use.
  • Maintain datasets used in research studies, ensuring consistency, traceability, and documentation.

Batch Data Engineering:

  • Design, build, and maintain batch data pipelines for scheduled ingestion, transformation, and delivery.
  • Optimize and monitor batch workflows to ensure performance, reliability, and scalability.
  • Troubleshoot and resolve issues in data pipelines and scheduled jobs.

Data Quality and Governance:

  • Implement data validation, quality checks, and monitoring processes.
  • Identify and resolve data inconsistencies, anomalies, and gaps.
  • Ensure compliance with healthcare data regulations (e.g., HIPAA, GDPR).

Analytics Enablement:

  • Partner with researchers and analysts to deliver clean, well-structured datasets.
  • Develop SQL queries and data transformations to support reporting and analysis.
  • Assist with exploratory data analysis and data preparation workflows.

Collaboration and Documentation:

  • Work cross-functionally with clinical, analytics, and engineering teams.
  • Document data pipelines, schemas, and workflows to ensure transparency and reproducibility.

Requirements

Technical Skills:

  • Bachelor’s degree in Computer Science, Data Science, Bioinformatics, or related STEM fields.
  • 2–4 years of experience in data engineering or a related role.
  • Strong proficiency in Python or similar language for data processing.
  • Solid SQL skills for querying, transformation, and optimization.
  • Experience building and maintaining batch ETL/ELT pipelines.
  • Experience with cloud platforms (Azure preferred).

Soft Skills:

  • Strong attention to detail and commitment to data quality.
  • Effective communication with both technical and non-technical stakeholders.
  • Ability to work independently and manage multiple priorities.

Preferred Qualifications:

  • Experience with clinical, healthcare, or research datasets.
  • Familiarity with Databricks, Spark, or workflow orchestration tools.
  • Strong analytics and data visualization skills
  • Experience with using statistical and/or machine learning algorithms for data analysis

Education and Experience:

  • Bachelor’s degree from four-year College or university in Computer Science, Machine learning, physics, mathematics or equivalent STEM experience.
  • 2 years Internship or project experiences can be considered for years of experience

Equal Employment Opportunity & Other Disclosures 

ATEC is committed to providing equal employment opportunities to its employees and applicants without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, gender expression, or any other protected status in accordance with all applicable federal, state or local laws. Further, ATEC will make reasonable accommodations that are necessary to comply with disability discrimination laws.

For roles based in the United States that require access to hospital facilities, must be eligible for and maintain credentials at all required hospitals, including meeting any applicable physical requirements or vaccination requirements (including the COVID-19 vaccine, as applicable).

At this time, ATEC Spine does not sponsor employment visas for this position. Candidates must be authorized to work in the United States without the need for current or future employer sponsorship.

Salary Range

Alphatec Spine, Inc. complies with state and federal wage and hour laws and compensation depends upon candidate’s qualifications, education, skill set, years of experience, and internal equity. $110,000 to $130,000 Full-Time Annual Salary

Similar Jobs

5 Days Ago
In-Office
Palo Alto, CA, USA
175K-250K Annually
Mid level
175K-250K Annually
Mid level
3D Printing • Consulting • Design • Manufacturing
Design and build an end-to-end, high-throughput dataloading stack for massive multimodal datasets: formatting, preprocessing, filtering, sharding, caching, and streaming data to distributed GPU training with observability, reliability, and performance benchmarking.
Top Skills: AirflowC++CudaDagsterDockerGpuKubernetesMlflowPrefectPythonPyTorchRustW&B
20 Days Ago
In-Office
Menlo Park, CA, USA
350K-400K Annually
Mid level
350K-400K Annually
Mid level
Artificial Intelligence • Hardware • Information Technology • Robotics
You will manage the data strategy for research, sourcing datasets, building pipelines, ensuring data quality, and collaborating with researchers to optimize model training.
Top Skills: SparkDaskDelta LakeDvcPythonRay
26 Days Ago
In-Office
San Francisco, CA, USA
150K-250K Annually
Mid level
150K-250K Annually
Mid level
Artificial Intelligence • Machine Learning • Software
As a Research Engineer, you'll enhance visual understanding capabilities by training and deploying models to make video datasets queryable, driving down costs, and collaborating on data taxonomy design.
Top Skills: Convolutional Perception ModelsDaftEmbedding ModelsMultimodal ModelsRaySparkVideo ModelsVision-Language ModelsVqa Models

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account