Data Scientist

Position Summary

Join our small, fully remote healthcare technology company, revolutionizing care delivery through the practical application of clinical AI. We enable clinicians to detect problems before they become life-threatening and ensure world-class care for patients everywhere. Our platform provides AI-enabled software solutions that deliver specific and measurable clinical value propositions and financial benefits to our customers, which include health systems and life sciences companies.

As a Data Scientist, you will play a pivotal role in developing our software products, specifically our Clinical AI, for healthcare provider organizations and life sciences companies.

Key Responsibilities

• Own end-to-end data science initiatives from problem formulation through production deployment, operating with high autonomy in ambiguous clinical and technical domains.
• Lead the design and development of complex AI models, ensuring they are scalable, reliable, and effectively integrated into our products in close collaboration with engineering and machine learning operations (MLOps) teams.
• Independently lead deep-dive investigations into model behavior, data quality, and performance anomalies to ensure the ongoing quality and impact of models in production.
• Drive technical excellence and standards across the team by contributing to best practices, performing high-impact code reviews, and serving as a senior technical resource for complex challenges.
• Contribute to the longer-term technical and modeling strategy by evaluating and championing new methods, tools, and architectures relevant to the product roadmap.
• Clearly communicate strategic insights, model findings, and recommendations to senior management, clinical experts, and other stakeholders.

Required Skills and Qualifications

• Master's degree or PhD in computer science, data science, statistics, biomedical engineering, or a related field.
• At least 5 years of experience in data science, machine learning, or deep learning, preferably in the healthcare domain.
• Proficient in Python and common data science libraries and frameworks, such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc.
• Strong understanding of the end-to-end model development lifecycle, including best practices for version control, experimentation, and validation.
• Experience developing and deploying AI models using a major cloud platform. Experience with Google Cloud Platform (GCP) is strongly preferred.
• Experience with Natural Language Processing (NLP) and modern transformer-based architectures is a significant plus.
• Knowledge of clinical data standards, such as OMOP, FHIR, DICOM, etc.
• Familiarity with clinical terminologies, such as ICD, SNOMED, LOINC, etc.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication, presentation, and collaboration skills.
• Passion for improving healthcare outcomes and making a positive impact on society.

Top Technical Skills

• XGBoost: This is a primary framework used by the team, and candidates will be asked technical questions about it during interviews.
• Statsmodels
• Predictive Modeling
• Cloud Platform Familiarity
• Familiarity with Mamba architecture is a plus, as is BERT.

Location and Logistics

• Workplace Type: Fully remote.
• Base Locations: New York, NY or Raleigh, NC.
• Pay Range: $150,000.00 - $170,000.00/yr.
• Application Deadline: June 19, 2026.

Benefits

• Zero-Premium Coverage: Comprehensive medical, dental, and vision insurance with $0 out-of-pocket costs.
• Time Off: Open, unlimited paid time off (PTO).
• Work-Life Balance: "No meeting Fridays" for uninterrupted focus.
• Family Support: Paid parental leave.
• Financial Wellness: 401(k) retirement plan.

About TEKsystems

We're partners in transformation, helping clients activate ideas and solutions. As an industry leader in Full-Stack Technology Services and Talent Services, we work with progressive leaders to drive change. TEKsystems is an Allegis Group company and an equal opportunity employer.