Research Data Scientist

Everforth Apex
Pleasanton, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Pleasanton, United States of America

Tech stack

Airflow
Computer Vision
Big Data
Health Informatics
Information Engineering
Data Structures
Distributed Systems
Graph Database
Python
Machine Learning
Natural Language Processing
NoSQL
TensorFlow
Scientific Computating
Workflow Management Systems
PyTorch
Large Language Models
Deep Learning
Containerization
Kubernetes
Information Technology
Machine Learning Operations
Docker

Job description

The Senior Data Scientist will operate as part of an internal consultancy supporting Principal Investigators across diverse research domains. This role blends applied machine learning, data engineering, containerization, and large-scale compute orchestration. The work is project-based, research-driven, and highly collaborative, requiring a high level of technical breadth and autonomy to help researchers translate scientific questions into operational workflows., * Partner with Principal Investigators to understand scientific goals, data availability, and technical constraints.

  • Translate research questions into actionable machine learning and artificial intelligence workflows.
  • Build prototypes, proofs of concept, and experimental pipelines to test solutions.
  • Summarize and visualize results for research teams.
  • Containerize workloads using Docker and deploy them at scale using Kubernetes.
  • Use workflow orchestration tools such as Kubeflow, MLflow, or Airflow.
  • Work with large, complex datasets across distributed systems and address big data performance challenges.
  • Develop, evaluate, and refine models across diverse datasets and domains, including computer vision, natural language processing, and deep learning.

Requirements

Education: A Master's degree is required, preferably in Computer Science, Data Science, Healthcare Informatics, or a related field.

Experience: Hands-on experience with Kubernetes, including deployments, jobs, metrics, and scaling, is required. Experience with containerization, scheduling, and workflow orchestration tools is also necessary. Healthcare or clinical research experience is preferred.

Technical Skills: Strong Python programming skills are required. Experience with machine learning and deep learning frameworks such as PyTorch or TensorFlow is needed. Familiarity with alternative data structures like graph databases, NoSQL databases, object storage, and vector databases is expected. Experience with medical imaging is a significant advantage., * Experience supporting academic or clinical research environments.

  • Experience with long-running distributed compute jobs.
  • Familiarity with Large Language Models or on-premise LLM environments.
  • Experience with scientific computing environments.

About the company

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

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