Senior Data Scientist

Job DescriptionJob DescriptionSalary: $140,000 - $170,000

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 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 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, SubjectWells 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 innovative solutions that help patients access promising care and speed 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 Senior Data Scientist 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.

This role involves 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 , 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

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 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

Qualifications

• Masters or PhD degree in Computer Science or a closely related field
• Over 5 years of professional experience in advanced analytics and AI/ML models
  
• 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 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

remote work