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Manager, Patient Analytics (Breast Cancer)
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingWe are looking for a Manager to lead patient analytics engagements.
Lead analytics engagements from scoping through executive-ready insights
Analyze biomarker testing gaps and treatment sequencing in breast cancer
Analyze claims, EMR and lab data for patient journey, LOT and adherence
Build ML patient-finding and predictive models where they add value
Mentor team members and serve as primary client contact
From the employer’s posting
We are looking for a Manager to lead patient analytics engagements. The initial focus will be breast cancer related engagements, with the opportunity to expand into other Oncology, Immunology and Rare disease indications as our pipeline grows for US pharma clients. You will own delivery from scoping to final insights, guide a team of analysts and consultants, and act as the client’s trusted advisor on patient journey, treatment landscape, and launch questions.
Lead end-to-end patient analytics engagements, from scoping and planning to delivery and executive-ready storytelling.
Analyze biomarker testing (HER2, ER/PR, PD-L1 status) and the gaps between testing and treatment.
Analyze APLD/claims, EMR, and lab/genomic data to generate insights on patient journey, line-of-therapy (LOT) progression, source of business, persistency and adherence, segmentation, and care gaps.
Apply ML-based patient finding, propensity and predictive models (likely progression or switch)
Serve as the primary client point of contact, managing expectations and building long-term partnerships.
What you’ll bring
All qualificationsCore experience
- Bachelor’s or Master’s degree in a quantitative or business-related field (e.g., Statistics, Data Science, Engineering, Healthcare Management).
- 6+ years of experience in US pharma consulting, with a strong focus on patient analytics and claims data.
- Knowledge of NCCN guidelines and oncology coding (ICD-10, NDC, J-codes), and of how treatments are captured in medical vs.
- Experience building predictive or machine learning models on real-world data
- Experience with APLD/claims, EMR, lab, and retail/non-retail datasets; proficiency in SQL and Python/PySpark; experience building or overseeing dashboards in Tableau or similar BI tools.
- Demonstrated experience leading teams and managing client engagements, with strong problem-solving, organizational, and communication skills.
Qualification wording
Bachelor’s or Master’s degree in a quantitative or business-related field (e.g., Statistics, Data Science, Engineering, Healthcare Management).
6+ years of experience in US pharma consulting, with a strong focus on patient analytics and claims data.
Knowledge of NCCN guidelines and oncology coding (ICD-10, NDC, J-codes), and of how treatments are captured in medical vs. pharmacy claims and inpatient vs. outpatient settings.
Experience building predictive or machine learning models on real-world data
Experience with APLD/claims, EMR, lab, and retail/non-retail datasets; proficiency in SQL and Python/PySpark; experience building or overseeing dashboards in Tableau or similar BI tools.
Demonstrated experience leading teams and managing client engagements, with strong problem-solving, organizational, and communication skills.
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.
- Data Leadership 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
- Experience building predictive or machine learning models on real-world data - Experience with APLD/claims, EMR, lab, and retail/non-retail datasets; proficiency in SQL and Python/PySpark; experience building or overseeing dashboards in Tableau or similar BI tools. - Demonstrated experience leading teams and managing client engagements, with strong problem-solving, organizational, and communication skills.
- Apply ML-based patient finding, propensity and predictive models (likely progression or switch), and journey analytics with machine learning, where they add value. - Support launch analytics, market sizing, and brand performance tracking, and oversee data architecture, ETL, and dashboards (Tableau or equivalent) that enable client decision-making. - Serve as the primary client point of contact, managing expectations and building long-term partnerships.
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 Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
Manager, Patient Analytics
Role overview
We are looking for a Manager to lead patient analytics engagements. The initial focus will be breast cancer related engagements, with the opportunity to expand into other Oncology, Immunology and Rare disease indications as our pipeline grows for US pharma clients. You will own delivery from scoping to final insights, guide a team of analysts and consultants, and act as the client’s trusted advisor on patient journey, treatment landscape, and launch questions.
Key Responsibilities
Lead end-to-end patient analytics engagements, from scoping and planning to delivery and executive-ready storytelling.
Drive breast cancer engagements in the near term (HR+/HER2-, HER2+, triple-negative; early vs. metastatic; biomarker testing and treatment sequencing), and adapt analytical frameworks to new disease areas as projects come in.
Analyze biomarker testing (HER2, ER/PR, PD-L1 status) and the gaps between testing and treatment.
Analyze APLD/claims, EMR, and lab/genomic data to generate insights on patient journey, line-of-therapy (LOT) progression, source of business, persistency and adherence, segmentation, and care gaps.
Apply ML-based patient finding, propensity and predictive models (likely progression or switch), and journey analytics with machine learning, where they add value.
Support launch analytics, market sizing, and brand performance tracking, and oversee data architecture, ETL, and dashboards (Tableau or equivalent) that enable client decision-making.
Serve as the primary client point of contact, managing expectations and building long-term partnerships.
Mentor and develop team members, and contribute to proposals, thought leadership, and reusable analytics assets.
Qualifications
Bachelor’s or Master’s degree in a quantitative or business-related field (e.g., Statistics, Data Science, Engineering, Healthcare Management).
6+ years of experience in US pharma consulting, with a strong focus on patient analytics and claims data.
Must have: Hands-on experience delivering breast cancer patient analytics projects (e.g., patient journey, LOT, adherence, or segmentation work on breast cancer cohorts).
Knowledge of NCCN guidelines and oncology coding (ICD-10, NDC, J-codes), and of how treatments are captured in medical vs. pharmacy claims and inpatient vs. outpatient settings.
Broader experience in Oncology, Immunology, or Rare disease analytics, with the ability to apply learnings across disease types.
Experience building predictive or machine learning models on real-world data
Experience with APLD/claims, EMR, lab, and retail/non-retail datasets; proficiency in SQL and Python/PySpark; experience building or overseeing dashboards in Tableau or similar BI tools.
Demonstrated experience leading teams and managing client engagements, with strong problem-solving, organizational, and communication skills.
Source details
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- Location & working pattern
India
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