Bharath reddy
As a decision scientist, I approach challenges with a blend of curiosity and logic, driven by a determination to achieve mastery in my field. I am resourceful in uncovering insights and committed to continuous learning, always seeking the most effective solutions.
Experience
Trainee decision scientist 4
Mu Sigma Inc. · Jan 2026 – Present
Decision Scientist | RWE Data Analyst
Mu Sigma · Oct 2022 – Present
- Support Real-World Evidence (RWE) studies for pharmaceutical clients using claims and EHR/EMR data across oncology indications including NSCLC, breast cancer, multiple myeloma, gastric cancer, and melanoma.
- Conduct analyses covering patient characteristics, clinical characteristics, biomarkers, treatment patterns, comorbidities, adverse events, incidence, and survival outcomes.
- Apply Kaplan-Meier, Cox proportional hazards, propensity score matching (PSM), and IPTW for survival and comparative effectiveness analyses.
- Develop and evaluate patient identification and cohort algorithms using claim-based diagnosis and treatment information, including NSCLC and HR+/HER2- breast cancer populations.
- Lead a pod focused on phenotype evaluation using OMOP CDM, working with client-developed ATLAS cohorts and evaluating phenotype performance across multiple databases using established evaluation workflows.
- Collaborate with clients and cross-functional teams to understand study objectives, translate requirements into analytical approaches, and deliver high-quality RWE outputs.
Data Scientist
Mu Sigma Inc. · Oct 2022 – Present
- Support Real-World Evidence (RWE) studies for pharmaceutical clients using claims and EHR/EMR data across oncology indications including NSCLC, breast cancer, multiple myeloma, gastric cancer, and melanoma.
- Conduct analyses covering patient characteristics, clinical characteristics, biomarkers, treatment patterns, comorbidities, adverse events, incidence, and survival outcomes.
- Apply Kaplan-Meier, Cox proportional hazards, propensity score matching (PSM), and IPTW for survival and comparative effectiveness analyses.
- Develop and evaluate patient identification and cohort algorithms using claim-based diagnosis and treatment information, including NSCLC and HR+/HER2- breast cancer populations.
- Lead a pod focused on phenotype evaluation using OMOP CDM, working with client-developed ATLAS cohorts and evaluating phenotype performance across multiple databases using established evaluation workflows.
- Collaborate with clients and cross-functional teams to understand study objectives, translate requirements into analytical approaches, and deliver high-quality RWE outputs.
Trainee decision scientist 3
Mu Sigma Inc. · Jan 2025 – Dec 2025
Trainee decision scientist 2
Mu Sigma Inc. · Jan 2024 – Dec 2024
Trainee decision scientist
Mu Sigma Inc. · Oct 2022 – Dec 2023
Artificial Intelligence Intern
Movilti · Aug 2021 – Jan 2022
Skills 0 proven through work
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Education
Bachelor of Engineering, Electronics & Communication Engineering
Methodist College of Engineering and Technology · 2017 — 2021
Contact details
Contact details
Bharath shares this with people who ask. You'll hear back either way.
What drives their work
The Strategist
You meticulously chart the most effective and defensible path through complex data challenges.
Bharath's superpower
You excel at transforming ambiguous data problems into clear, validated, and actionable analytical solutions.
How Bharath works
You thrive in teams that value rigorous analytical problem-solving, continuous learning, and clear communication, especially within healthcare analytics.
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