Headline

Decision Scientist | RWE & Oncology Analytics | Comparator Cohorts, Synthetic Control Arms, RWD (SAS/SQL)

About

I work in Real-World Evidence, primarily building comparator cohorts and supporting oncology studies for pharma clients using claims and EHR data. My analyses span incidence, lines of therapy, treatment patterns, baseline characteristics, attrition, and propensity score matching, primarily using SAS and SQL, with R as needed, across data sources such as Flatiron, ConcertAI, COTA, and TriNetX. One project that stands out involved building a lines-of-therapy model using data from 3,000+ patients across five EMR vendors. A major part of the work was harmonizing and reconciling inconsistencies across the different sources to ensure treatment sequences and lines of therapy were accurately captured. I also have strong experience in data validation and QC. I've developed QC frameworks that were later adopted by other teams, and I've mentored and onboarded 25+ analysts on RWD study execution. I work closely with clients and senior stakeholders to translate study objectives into clear analytical plans, and I'm now looking to take on greater ownership of study design, analytical strategy, and client engagement in a senior RWE role.

Location

Bengaluru

AI stack

claude code

gemini

ChatGPT

Work experience

Decision scientist IV at Mu Sigma Inc., Jan 2026 - Present · 9 mos, Bengaluru, Karnataka, India

Data Scientist at Mu Sigma Inc., Oct 2022 - Present · 4 yrs, Worked on real-world evidence engagements for pharmaceutical clients, supporting oncology safety, incidence, treatment, comparator cohort, and synthetic external control arm studies. Developed patient cohorts and analytical datasets using claims and EHR data across multiple healthcare databases and study types. Used SAS and SQL for data preparation, cohort development, analysis, and study outputs, including reusable macros and functions for recurring requirements. Performed data validation, QC, and feasibility checks to identify issues and ensure reliable analytical outputs. Supported incidence, comparative, and time-to-event analyses, translating study requirements into appropriate analytical approaches and outputs. Worked directly with client stakeholders and senior leadership to understand requirements, discuss analytical approaches, present findings, address requests, and serve as a point of contact for assigned analyses. Contributed to process improvements and reusable analytical assets, including QC frameworks and code lists that were adopted across multiple studies. Mentored and onboarded 25+ analysts through technical guidance and knowledge-sharing, and supported code reviews and technical interviews.

Decision scientist III at Mu Sigma Inc., Jan 2025 - Dec 2025 · 1 yr, Bengaluru, Karnataka, India

Cybersecurity intern at IBM, Jan 2022 - Jul 2022 · 7 mos, Bengaluru, Karnataka, India

Cybersecurity intern at IBM, Jan 2022 - Jul 2022 · 7 mos, Bengaluru, Karnataka, India, successfully completed internship in incident and response field in cybersecurity domain.

Engineering: undergraduate &masters virtual internship platform at Microsoft, Jun 2020 - Jun 2020 · 1 mo, India

Digital Marketing Intern at Unschool, May 2020 - Jul 2020 · 3 mos, Bengaluru, Karnataka, India

Education

Bachelor's degree, Electrical, Electronics and Communications Engineering, Cambridge Institute of Technology

puc, mpc, Suvarna bharathi junior college