Data Scientist - Patient Predictive Modelling
Salary
Not disclosed
Experience
6-8 Years
Job Title: Data Scientist ? Patient Predictive Modelling
As a Patient Predictive Modeler, you will use cutting-edge AI/ML to extract clinical insights from vast, multi-modal Real-World Data (RWD) systems. You will architect predictive models focused on tracking longitudinal patient data to forecast clinical outcomes, identify optimal windows for therapeutic intervention, map patient stratification, and simulate disease progression trajectories. This role directly impacts commercial deployment strategies.
Key Responsibilities
- Build and deploy predictive models (Survival Analysis, Markov Chains, Recurrent Neural Networks) to map complex patient journeys, lines of therapy, and disease progression.
- Act as a Subject Matter Expert (SME) on massive US healthcare data structures, extracting, cleaning, and transforming unstructured data from diverse health systems.
- Design algorithms to predict patient risks, including adverse drug events, hospitalization likelihood, treatment non-adherence, and clinical trial dropout rates.
- Apply unsupervised clustering and representation learning on multimodal biological and phenotypic datasets to discover distinct clinical subpopulations for precision medicine.
- Ensure all clinical and patient-level predictions feature clear feature-attribution mapping (SHAP, LIME) so global medical and regulatory stakeholders can trust model outputs.
Requirements
- Graduate degree (Master's preferred) in Health Informatics, Biostatistics, Computer Science, or Data Science.
- Strong experience in Machine Learning / Deep Learning along with knowledge on US Pharma data systems.
- Advanced Python capability alongside machine learning packages (Scikit-Learn, XGBoost).
- Experience adapting deep learning architectures (PyTorch/TensorFlow) for time-series or sequential data processing.
- Experience manipulating large datasets utilizing SQL, PySpark, and Cloud computing workspaces like Databricks.
- Explainable AI (XAI).
Work Arrangements
- Full-time position based in Hyderabad, Telangana, India.
- Work schedule: Hybrid (2-3 days Work from Office).
Careers at Bootminds
At Bootminds, we help global enterprises launch, scale, and optimize their Global Capability Centers (GCCs) in India with clarity, governance, and impact.
We’re not about volume — we’re about quality outcomes: strategic GCC setup, expansion, and mission
critical staffing that moves the needle.
Who We Are
Bootminds partners with global leaders to turn bold GCC ambitions into high
performance reality — from advisory and execution to building teams that deliver long
term value.
Our approach is transparent, outcome
focused, and grounded in deep GCC expertise.
Who You’ll Work With
You’ll collaborate with:
Enterprise CXOs and GCC leadership teams driving India capability strategy.
High
impact engineering, data, and functional leaders building core teams.
Cross
functional experts in consulting, operations, and talent strategy.
What Sets Us Apart
GCC
First Mindset – We live and breathe capability centre design, launch, and growth — not generic staffing.
Strategic Staffing – We staff with purpose, aligning skills and roles to real GCC outcomes.
Service
centric Culture – Whether advising leaders or partnering with candidates, we bring clarity, accountability, and respect to every interaction.
Why Join Us
Influence the blueprint of GCCs — the way global teams work, scale, and deliver from India.
Work with seasoned experts who’ve built, advised, and scaled capability centres worldwide.
Grow in a culture that values curiosity, ownership, and real impact.
If you want to help global companies build high
performing India capability hubs and love solving hard problems with clarity and grit — you’ll fit right in.