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Senior Associate, Patient Analytics (Breast Cancer)
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingWe are hiring a Senior Associate who enjoys working hands-on with real-world data and turning it into answers pharma brand teams can act on.
Build breast cancer patient cohorts from claims and EMR data by subtype, stage and biomarker
Write and validate logic for line-of-therapy, persistency, adherence and time on therapy
Track biomarker testing patterns and find patients tested but not treated, or treated without testing
Turn data outputs into charts and slides and present them in client working sessions
Build and maintain data pipelines and Tableau dashboards for brand and launch tracking
From the employer’s posting
We are hiring a Senior Associate who enjoys working hands-on with real-world data and turning it into answers pharma brand teams can act on. You will work on breast cancer engagements for US pharma clients, building the cohorts, algorithms and analyses for each client's requirements. Over time you will extend this work to other Oncology, Immunology and Rare disease areas. You will work closely with the engagement Manager and grow into leading workstreams yourself.
Build breast cancer patient cohorts from claims and EMR data
Write and validate the logic behind core metrics: line-of-therapy assignment, regimen grouping, persistency, adherence, time on therapy and source of business.
Track biomarker testing patterns (HER2, ER/PR, PD-L1) and identify patients who are tested but not treated, or treated without testing.
Translate data outputs into clear charts and slides, and present findings in working sessions with client teams.
Build and maintain data pipelines and Tableau dashboards for ongoing brand and launch tracking.
What you’ll bring
All qualificationsCore experience
- Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Data Science, Engineering, Life Sciences).
- 3–5 years of experience in US pharma analytics, with most of it spent working directly with patient-level data.
- Familiarity with oncology coding (ICD-10, NDC, J-codes) and experience with APLD/claims, EMR and lab datasets.
- Strong SQL and Python/PySpark skills; experience building dashboards in Tableau or similar tools.
Qualification wording
Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Data Science, Engineering, Life Sciences).
3–5 years of experience in US pharma analytics, with most of it spent working directly with patient-level data.
Familiarity with oncology coding (ICD-10, NDC, J-codes) and experience with APLD/claims, EMR and lab datasets.
Strong SQL and Python/PySpark skills; experience building dashboards in Tableau or similar tools.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 19, 202616 days ago
- Recorded sightings
- 18
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
KMK Consulting is hiring
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Tableau
- PySpark
Where the posting names them
- Familiarity with oncology coding (ICD-10, NDC, J-codes) and experience with APLD/claims, EMR and lab datasets. - Strong SQL and Python/PySpark skills; experience building dashboards in Tableau or similar tools. - Good to have: Exposure to other Oncology, Immunology or Rare disease data, or to predictive / machine learning models.
- Translate data outputs into clear charts and slides, and present findings in working sessions with client teams. - Build and maintain data pipelines and Tableau dashboards for ongoing brand and launch tracking. - Check your own work and analysts’ work for accuracy, and document code and methods so they can be reused across projects.
Your next step
Complete your application on kmkconsultinginc.applytojob.com. The employer’s form will show what is required.
Applying through JazzHR
- No account needed: one application form on the employer’s applytojob.com page.
Already applied? Track this application
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
Senior Associate, Patient Analytics
Role Overview
We are hiring a Senior Associate who enjoys working hands-on with real-world data and turning it into answers pharma brand teams can act on. You will work on breast cancer engagements for US pharma clients, building the cohorts, algorithms and analyses for each client's requirements. Over time you will extend this work to other Oncology, Immunology and Rare disease areas. You will work closely with the engagement Manager and grow into leading workstreams yourself.
Key Responsibilities:
Build breast cancer patient cohorts from claims and EMR data, defining patients by subtype (HR+/HER2-, HER2+, TNBC), stage (early vs. metastatic) and biomarker status.
Write and validate the logic behind core metrics: line-of-therapy assignment, regimen grouping, persistency, adherence, time on therapy and source of business.
Track biomarker testing patterns (HER2, ER/PR, PD-L1) and identify patients who are tested but not treated, or treated without testing.
Translate data outputs into clear charts and slides, and present findings in working sessions with client teams.
Build and maintain data pipelines and Tableau dashboards for ongoing brand and launch tracking.
Check your own work and analysts’ work for accuracy, and document code and methods so they can be reused across projects.
Support predictive modeling work such as patient finding and predictive segmentation, where needed.
Qualifications:
Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Data Science, Engineering, Life Sciences).
3–5 years of experience in US pharma analytics, with most of it spent working directly with patient-level data.
Must have: Hands-on experience on breast cancer patient analytics project, building cohorts, LOT or patient journey analyses yourself.
Familiarity with oncology coding (ICD-10, NDC, J-codes) and experience with APLD/claims, EMR and lab datasets.
Strong SQL and Python/PySpark skills; experience building dashboards in Tableau or similar tools.
Good to have: Exposure to other Oncology, Immunology or Rare disease data, or to predictive / machine learning models.
Clear communicator, detail-oriented and curious about the clinical story behind the data.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
India
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- Work authorization
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