Director, Data Science

About SubjectWell

Matching patients with relevant clinical trials and treatments.

SubjectWell, a technology company and patient recruitment industry leader has created the largest, most trusted, direct Patient Network that connects patients with relevant clinical trials and market-ready treatments. We use multiple unique channels to grow our Patient Network of over 13 million patients by 300,000 per month. We help reduce the notorious bottleneck of patient recruitment in clinical research and connect patients to new care options.

Founded in 2012, SubjectWell counts 19 of the top 20 pharmaceutical companies among its customers and reaches patients across six continents. Our amazing team — located primarily in Austin, TX and Cape Town, South Africa — helps pharmaceutical and biotech companies find qualified patients in every therapeutic area.

Clinical trials need millions of qualified patient volunteers but regularly fall behind schedule because patients are unaware of the benefits of clinical trials or even how to get involved. SubjectWell is transforming patient recruitment with the creation of the first and only clinical trials Patient Network. We broadly educate people on the benefits of research participation and allow interested patients to choose from and be screened against multiple clinical trials in our Patient Network. Since 2012, SubjectWell’s high-touch approach has helped over 115 pharmaceutical and biotech companies find qualified patients in over 175 therapeutic areas.

SubjectWell is looking for exceptional people who are passionate about their field of expertise. Your work will build an innovative healthcare startup that is helping patients access promising care and is speeding the delivery of new medical treatments to the world.

Here is your chance to really make a difference, both in your career and in the lives of millions.

About The Position

The Director of Data Science is responsible for spearheading the development and implementation of advanced data analytics models focused on internal optimization needs ranging from optimal pricing to spend allocation based on historical performance data, developing predictive analytics and ML models for both internal and external use, and identifying AI/ML/LLM based solutions that help drive business strategy, enable business growth, and enhance operational efficiency.

The Director will help identify opportunities for AI/ML/LLM applications, oversee the design, development, and deployment of models and algorithms, and ensure the successful integration of technologies and data-driven solutions into business processes and workflows.

This role involves managing a team and collaborating with various departments, including engineering, product, and business leaders.

This position will report to the VP of Product and is entirely remote.

Responsibilities:

Advanced Analytics

• Champion advanced analytics and identify opportunities for further application of advanced analytics
• Identify insights from analyzing company data sets to find opportunities for product and process optimization needs ranging from optimal pricing to spend allocation based on historical performance data, potential revenue growth, and savings
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Build models to test the effectiveness of different courses of action
• Ability to translate complex data into actionable insights for leadership

Cross-Functional Collaboration

• Collaborate with cross-functional teams to identify opportunities for AI applications
• Work closely with engineering, product, and business teams to ensure analytics and AI solutions are integrated into products and services effectively
• Translate technical concepts into actionable business strategies

Strategic Leadership

• Define and guide data strategy for leveraging both internal and external data sets to improve trial planning and subsequent recruitment
• Bring AI and data science strategy to life, by helping align initiatives with business objectives, and identifying opportunities to leverage AI
• Evaluate and implement new data science tools, technologies, and methodologies to stay ahead of industry trends

Team Leadership & Development

• Foster a collaborative and innovative work environment and mentor team members to reach their full potential by sharing data science methodologies, including machine learning, statistical analysis, data mining, and natural language processing
• Establish best practice routines and processes to ensure the efficient creation of high-quality systems

AI Model Development

• Lead the design, development, and deployment of AI/ML models and algorithms
• Oversee the development, training, and deployment of advanced AI/ML models, including Generative AI, supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing
• Ability to manage complex data science projects with tight deadlines and multiple dependencies

Integration & Performance Monitoring

• Ensure the successful integration of AI/ML/LLM technologies into existing workflows
• Monitor and evaluate the performance of models and algorithms
• Develop metrics to track the performance of models in production
• Regularly report on key initiatives, model success, and business outcomes to senior leadership

Data Governance

• Establish data quality standards, data governance policies, and ensure compliance with regulatory requirements
• Ensure that AI applications adhere to principles of fairness, safety, privacy, transparency, and accountability
• Defines Standard Operating Procedures (SOPs) and Work Instructions (WIs) consistent with FDA guidelines that can be provided to customers during audits to confirm compliance regarding controls and ethical use

Qualifications

• Master’s or PhD degree in Computer Science or a closely related field
• Over 7 years of professional experience in advanced analytics and AI/ML models
• Over 5 years of leadership experience or role within a data science team
• Demonstrated experience in leading AI and machine learning projects
• Demonstrated operational experience (e.g. experience building, deploying, managing, and operating AI models in production)
• Strong analytical and problem-solving abilities
• Excellent communication skills and executive presence
• Ability to lead in matrixed structure and work collaboratively with various departments and stakeholders
• Strong understanding of data science methodologies, including machine learning, statistical analysis, data mining, and natural language processing
• Experience with data mining, data reconciliation, data analytics and developing/deploying models into production, as well as monitoring them
• Understanding of patient recruitment, clinical trial workflows, or healthcare data
• Understanding of HIPAA, GDPR, and other relevant data privacy regulations