

Machine Learning Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Data Scientist with 12+ months contract, paying $90-100/hour W2, 100% remote. Requires 8+ years in data science, healthcare experience, ML expertise, and proficiency in Python/R, with a PhD or Master's degree.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
800
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ποΈ - Date discovered
June 10, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#AI (Artificial Intelligence) #Predictive Modeling #PyTorch #Leadership #Python #BERT #ML (Machine Learning) #Data Science #Deep Learning #TensorFlow #Statistics #C++ #"ETL (Extract #Transform #Load)" #Libraries #Deployment #Datasets #Computer Science #Programming #R
Role description
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PAY: $90-100/hour W2. Flex above possible for stellar candidates. Our company offers our consultants a suite of benefits after a qualification period including health, vision, dental, life and disability insurance.
12+ Month contract role. 100% remote role, no onsite work expected.
W2 Candidates only. C2C not possible under any circumstances for this role.
Manager Notes
β’ Min of 8 years of related experience
β’ Previous Pharma, Biotech, or Healthcare experience required; Application in healthcare is essential, EMR, claims data, genomic data exp required
β’ ML experience required
β’ Federated analytics and federatML - must have
β’ Deep Learning transformer architecture, transformer-based architecture is required
β’ Python, R
β’ Experience in healthcare/ biostats/Case control studies etc.
β’ C++ (highly desirable)
Description
β’ Seeking an experienced and visionary Principal Data Scientist to lead our efforts in developing advanced predictive models and AI solutions for healthcare.
β’ The ideal candidate will possess a deep understanding of machine learning methodologies, a proven track record of delivering impactful data-driven solutions in a real-world setting, and the ability to drive innovation across diverse therapeutic areas.
Responsibilities
β’ Lead the design, development, and deployment of cutting-edge predictive models using various machine learning and AI techniques, including tree-based models (e.g., XGBoost) and transformer-based architectures (e.g., BERT), for early disease detection and proactive interventions.
β’ Drive the strategic direction of data science initiatives across multiple therapy areas, identifying opportunities to leverage real-world data (e.g., open claims data, EHR) for improved patient outcomes and drug development, including the use of federated analytics and federatML.
β’ Provide technical leadership and mentorship to a team of data scientists, fostering a culture of innovation, rigorous experimentation, and best practices in MLOps.
β’ Evaluate and select appropriate modeling techniques and performance metrics (e.g., Precision, Recall, Bayes factor, NNT) based on specific problem statements and business objectives.
β’ Collaborate closely with cross-functional teams including business owners, payers, clinicians, epidemiologists, statisticians, and IT to translate complex business problems into tractable data science solutions for deployment in real world.
β’ Stay abreast of the latest advancements in machine learning, deep learning, and AI, and proactively integrate Client approaches into our predictive modeling capabilities.
β’ Communicate complex analytical findings and their implications clearly and concisely to both technical and non-technical audiences.
Skills/Education
β’ PhD or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Biomedical Informatics, Engineering, Physics).
β’ 8+ years of progressive experience in data science, with a significant portion focused on predictive modeling and advanced analytics in healthcare or life sciences.
β’ Demonstrated expertise in machine learning algorithms and deep learning architectures, including strong practical experience with transformer models (e.g., BERT).
β’ Proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
β’ Experience working with large-scale, real-world healthcare datasets such as claims data, electronic health records (EHR), or clinical trial data.
β’ Strong understanding of statistical concepts and experimental design.
β’ Proven ability to lead complex data science projects from conception to deployment, with a focus on delivering measurable business impact.
Who We Are:
The Fountain Group is a nationwide staffing firm with over 80 Fortune 100-500 clients. Since 2001, TFG has maintained a consistent standard of excellence, and our work is broadly recognized every year through numerous industry performance awards. Our success is a team effort.
Browse our website below for additional information on our company.
The Fountain Group
3407 W Martin Luther King Jr. Dr. Tampa, FL 33607
βWe work in Life Sciences, Clinical, Engineering, IT, and more. Above all, we specialize in people.β