Director, Data Science
Location
United States
Posted
17 hours ago
Salary
$150K - $170K / year
Seniority
Lead
No structured requirement data.
Job Description
About JPA Health
JPA Health is a fully integrated marketing, communications and medical communications agency for clients ranging from emerging biotech to established pharmaceutical companies and public health organizations. We work exclusively within the health sector. We share our clients’ commitment to making people healthier. In fact, some might say we are obsessed with improving and protecting lives. Check out our sizzle reel!
The Role
The Director, Data Science leads advanced analytics initiatives across client engagements, developing and deploying technology-driven solutions using machine learning, artificial intelligence, and advanced statistical methodologies to drive insight and inform decision-making across complex healthcare challenges.
In this role, you will design, implement, and oversee healthcare-focused analytical solutions that harness large-scale clinical, real-world, and commercial datasets. You will work closely with cross-functional teams to translate complex data into strategic impact for global biotech, pharmaceutical, and healthcare clients.
As a senior technical leader, you will balance client delivery, innovation, and growth contribution while helping shape the future of data science capabilities within the organization.
Responsibilities
Advanced Analytics and Modeling
- Lead projects involving large, complex datasets, advanced statistical modeling, machine learning, artificial intelligence, and data visualization
- Design and deploy predictive models to support strategic decision-making for healthcare and life sciences clients
- Develop scalable, AI-driven analytical solutions using modern, open-source technologies
- Define analytical approaches, simulation models, and feature engineering strategies across multiple healthcare domains
- Validate, test, and refine models to ensure accuracy, robustness, and real-world applicability
Data Infrastructure and Optimization
- Lead the design and optimization of data pipelines supporting clinical, real-world, and commercial data
- Oversee data cleaning, transformation, and preprocessing workflows to support advanced analytics
- Develop and implement distributed machine learning solutions across cloud environments
- Ensure data architecture supports scalability, performance, and secure handling of sensitive healthcare data
Client Leadership and Insight Delivery
- Present complex analytical findings to internal teams, clients, and senior stakeholders
- Translate technical outputs into clear, actionable insights for non-technical audiences
- Provide technical leadership across analytics initiatives and mentor junior team members
- Partner with cross-functional teams to support new business opportunities and innovation efforts
- Contribute to new business and organic growth opportunities by shaping data science approaches for proposals, pitches, and client engagements
About You
- Master’s or Ph.D. in Data Science, Computer Science, Statistics, Bioinformatics, or a related field
- 6+ years of experience applying data science, machine learning, or advanced analytics in healthcare, life sciences, or related industries
- Strong programming skills in Python and/or R
- Demonstrated experience designing and deploying machine learning models, including regression, classification, clustering, decision trees, and recommender systems
- Experience working with deep learning models such as LSTM, VAE, GAN, or large language models
- Experience building time series models, forecasting approaches, or change-point detection methods
- Experience working with large datasets in distributed or cloud environments (AWS, Spark, Hadoop, GPU computing, or similar)
- Strong experience with data visualization and analytical libraries in Python, R, or related tools
- Proven ability to lead complex technical initiatives from concept through execution
- Collaborative mindset and ability to work across disciplines to deliver data-driven solutions
At JPA Health, we put people first. We believe that a wide range of perspectives and experiences enhance our work and enable us to better serve our clients. Our Core Values – Collaboration, Communication, Creativity, Curiosity, and Compassion – guide our daily interactions and deepen our understanding of the clients we serve.
We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment regardless of disability status, veteran status, or any other legally protected category. If you require an accommodation in order to apply for a position with JPA Health, please contact us for assistance at Recruiting@jpa.com.
Job Requirements
- Master’s or Ph.D. in Data Science, Computer Science, Statistics, Bioinformatics, or a related field.
- 6+ years of experience applying data science, machine learning, or advanced analytics in healthcare, life sciences, or related industries.
- Strong programming skills in Python and/or R.
- Demonstrated experience designing and deploying machine learning models, including regression, classification, clustering, decision trees, and recommender systems.
- Experience working with deep learning models such as LSTM, VAE, GAN, or large language models.
- Experience building time series models, forecasting approaches, or change-point detection methods.
- Experience working with large datasets in distributed or cloud environments (AWS, Spark, Hadoop, GPU computing, or similar).
- Strong experience with data visualization and analytical libraries in Python, R, or related tools.
- Proven ability to lead complex technical initiatives from concept through execution.
- Collaborative mindset and ability to work across disciplines to deliver data-driven solutions.
Benefits
- We put people first and believe that a wide range of perspectives and experiences enhance our work.
- Core Values: Collaboration, Communication, Creativity, Curiosity, and Compassion.
- Equal opportunity employer; all qualified applicants will receive consideration for employment regardless of disability status, veteran status, or any other legally protected category.
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