Company: Large Pharmaceutical Company
Title: Sr. Data Scientist, A.I.& Machine Learning
Location: 100% remote work from home
Contract Position: 1 year with potential contract extension
Notes from the manager:
2 Roles Internal Title: Senior Data Scientist, AI, and Machine Learning **Rate is flexible Fully remote, open to all time zone, however, must be able to work EST time zone Possibility of extension Must have experience: ● 5+ years of experience in developing data management systems for large volumes of data and applying complex mathematical and statistical methods to real-world problems. ● 2+ years of experience in developing data science, analytics, and AI/ML solutions. ● Python, R, or similar languages, and experience with ML frameworks (TensorFlow, PyTorch). ● SQL experience is required ● Natural language processing, physician notes, convert notes in to structured language Preferred: ○ Deep Learning, Federated Learning, reinforcement learning ○ Experience with healthcare data and analytics, or experience developing healthcare technology and applications. ○ Understanding of healthcare data standards and healthcare workflows
Description:
2 Roles
Internal Title: Senior Data Scientist, AI, and Machine Learning
Remote
About the Role
The company's mission is to chase the miracles of science to improve people’s lives. The company is a company that’s on the rise. We are expanding in multiple directions, across borders and, most of all, in the way we think. At the company, we’re building a team of brilliant individuals to drive the success of a new healthcare business to transform healthcare for all. People are the most critical ingredient to our success.
The company's General Medicines Digital Healthcare Team seeks a skilled and driven Data Science, AI, and Machine Learning (ML) Lead to drive and support the development and launch of innovative digital care and life management programs targeting diabetes and other chronic conditions. We are building a comprehensive digital health platform that empowers patients with chronic conditions and their informal caregivers to manage health journeys more effectively together. Our platform combines multiple modular services into a seamless ecosystem that bridges the gap between clinical care and daily life management.
As a Data Science, AI, and ML Lead on the company's General Medicines Digital Healthcare Team, you will play a crucial role in leading the technical design and development of the data management, advanced analytics, and AI/ML and generative AI capabilities of our consumer-centric digital health platform. In this role, you will leverage advanced mathematical and statistical methodologies to extract meaningful insights from diverse data sources, develop predictive models, and create AI-driven solutions that improve health outcomes and overall quality of life for patients with chronic conditions and their caregivers.
Your role will also involve the development of secure and scalable platforms to support the efficient management of increasingly large and complex volumes of clinical and non-clinical data, including the implementation of systems for efficient federated data management as well as federated learning. This role requires strong data engineering and software development expertise combined with an understanding of healthcare data standards and privacy and security requirements.
You will ultimately be responsible for the development and implementation of consumer-centric and healthcare professional-focused digital tools aimed at enhancing medication adherence and achieving optimal health outcomes. This role requires strong leadership, project management, cross-functional collaboration, and technical expertise to ensure successful delivery of initiatives while optimizing program performance and alignment with business objectives.
What You Will Work On
● Lead the technical design, software development, and implementation of the data science, AI, ML, and generative AI capabilities for our consumer-centric digital health platform, aligning with business objectives and consumer needs.
● Lead the technical design and software development of federated data management and federated learning systems to support scalability of our digital health platform and to support patient ownership and control of healthcare data.
● Lead the vision and strategy for the technical design and development of AI, ML, and generative AI capabilities, incorporating emerging research and technologies and new methodologies in the AI/ML and generative AI space.
● Design and apply complex mathematical models and statistical methods to analyze datasets that include multi-modal clinical data (including patient-reported outcomes, remote patient monitoring device data, EHR data, and claims data), social determinants of health data, and consumer behavior data.
● Develop data engineering architectures and systems to ensure data quality, governance, and interoperability.
● Create predictive models to identify health and wellness risks, recommend interventions, and personalize care journeys.
● Develop innovative approaches to support patients, informal caregivers, and other individuals through data-driven health and wellness insights and tools.
● Design and implement AI-based agents and chatbots to enhance consumer engagement and to improve efficiency and productivity of care management and administrative team members.
● Perform feature engineering and selection to optimize model performance and extract meaningful insights from complex datasets, and develop automated feature engineering pipelines to ensure scalability and reproducibility.
● Rigorously evaluate and validate machine learning models using appropriate metrics and techniques, ensuring robustness, generalizability, and clinical relevance, and establish best practices for model validation, including the use of held-out datasets, cross-validation, and external validation.
● Collaborate with product, engineering, clinical, and behavioral science teams to develop actionable insights and intelligent features within patient- and caregiver-facing digital tools.
● Stay current with emerging research and technologies in data science, AI, and machine learning, and explore new methodologies and technologies to enhance our platform's capabilities.
Education and Experience
● Advanced degree (MS or PhD) in Computer Science, Statistics, Applied Mathematics, Biostatistics, or related field.
● 5+ years of experience in developing data management systems for large volumes of data and applying complex mathematical and statistical methods to real-world problems.
● 2+ years of experience in developing data science, analytics, and AI/ML solutions.
● Proven track record developing and deploying machine learning models in production environments.
● Experience in Python, R, or similar languages, and experience with ML frameworks (TensorFlow, PyTorch).
● Preferred:
○ Experience with natural language processing, computer vision, or time-series analysis.
○ Experience with healthcare data and analytics, or experience developing healthcare technology and applications.
○ Understanding of healthcare data standards and healthcare workflows
Professional Skills / Competencies
● Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
● Work effectively in a matrixed organization, influencing stakeholders without
direct authority.
● Strong negotiation, collaboration, and influence management skills.
● Excellent communication skills to articulate clinical concepts and rationale to
stakeholders.
● Comfortable with ambiguity and adaptable to complex and dynamic situations.
● Multicultural awareness to enable collaboration with diverse, global teams.
● Passionate about improving access to care and healthcare experiences.
Join us on our journey to change healthcare for all and for good. Be a part of an innovative team committed to creating technology that makes a meaningful difference in people's daily lives, reducing the cognitive and emotional burden of managing chronic health conditions and driving positive health outcomes. Your work will directly impact patients and caregivers who are navigating complex healthcare journeys together.
Company: Large Pharmaceutical Company
Title: Lead Principle Data Scientist (Advanced predictive models and AI solutions)
Location: Remote, work from home 100%
Contract Position: 1 year with potential extension
Manager comments on the need: *Flexible on Rate* 100% Remote Internal Title: Principal Data Scientist. Possibility of extension. Open to all time zones in US however must be able to work EST hours Must Have : • Min of 8 years of related experience • Pharma and health care experience • ML experience required • Federated analytics and federat ML – must have • Deep Learning transformer architecture, transformer-based architecture is required • Application in healthcare is essential, EMR, claims data, genomic data exp required • Python, R • Experience in healthcare/ biostats/Case control studies etc. Nice to Have : • C++ (highly desirable)
Description:
100% Remote
The company's mission is to chase the miracles of science to improve people’s lives. This is a company that's on the rise. We're expanding in multiple directions, across borders and, most of all, in the way we think. At this company, we're building a team of brilliant individuals to drive the success of a new healthcare business to transform healthcare for all. People are the most critical ingredient to our success.
The company's E.D.G.E. Team (Emerging Disruptive Growth Exploration) conducts cutting-edge research in health care and incubates data-driven digital and non-digital solutions which aim to improve a person’s health outcomes, the lives and ability for families to support and care for their loved ones, clinicians’ experience, and to reduce health care costs. We are actively incubating multiple concepts to improve the lives of individuals and their loved ones globally, especially underserved populations, and we are seeking the best and the brightest to join this journey and change healthcare for all.
We are seeking an experienced and visionary Principal Data Scientist to lead our efforts in developing advanced predictive models and AI solutions for healthcare. 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.
Main responsibilities. The overall purpose and main responsibilities are listed below:
o 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.
o 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.
o Provide technical leadership and mentorship to a team of data scientists, fostering a culture of innovation, rigorous experimentation, and best practices in MLOps.
o Evaluate and select appropriate modeling techniques and performance metrics (e.g., Precision, Recall, Bayes factor, NNT) based on specific problem statements and business objectives.
o 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.
o Stay abreast of the latest advancements in machine learning, deep learning, and AI, and proactively integrate novel approaches into our predictive modeling capabilities.
o Communicate complex analytical findings and their implications clearly and concisely to both technical and non-technical audiences.
About you
• PhD or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Biomedical Informatics, Engineering, Physics).
• 8+ years of progressive experience in data science, with a significant portion focused on predictive modeling and advanced analytics in healthcare or life sciences.
• Demonstrated expertise in machine learning algorithms and deep learning architectures, including strong practical experience with transformer models (e.g., BERT).
• Proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
• Experience working with large-scale, real-world healthcare datasets such as claims data, electronic health records (EHR), or clinical trial data.
• Strong understanding of statistical concepts and experimental design.
• Proven ability to lead complex data science projects from conception to deployment, with a focus on delivering measurable business impact.
• Excellent communication, interpersonal, and leadership skills, with the ability to influence and collaborate effectively across all levels of the organization.
