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Precision Medicine Group

Senior Data Analyst

Posted 3 Days Ago
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Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
Lead oncology patient-journey, line-of-therapy, brand, HEOR, and healthcare resource utilization analytics using structured claims and patient data. Build SQL pipelines, perform exploratory and statistical analyses, ensure data governance and reproducibility, and translate findings into dashboards and client-facing insights. Collaborate with HEOR, market access, strategy, and engineering teams while independently managing project delivery and stakeholder communication.
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Role Summary

We are seeking a motivated, experienced Senior Data Analyst who will lead analytics efforts around Oncology patient journey, line of therapy (LoT) and structured claims/patient data.

The successful candidate will transform large claims datasets into insights that shape strategic decisions for our clients.

Key Responsibilities
  • Lead and execute analytics projects focused on patient-journey and line-of-therapy mapping, Brand analytics.
  • Analyze structured claims and patient datasets such as DRG, IQVIA, McKesson, Symphony claims.
  • Conduct exploratory data analysis (EDA) to assess treatment patterns, pathways and utilization.
  • Support HEOR/HCRU analyses including prevalence, burden, incidence and cost-of-illness studies.
  • Develop and present client-facing insights using dashboards, PowerPoint and visual analytics.
  • Build and optimise SQL queries, pipelines; use Excel and Python for automation and analysis.
  • Collaborate with HEOR, market-access, strategy and engineering teams. Ability to gather requirements, articulate approach, timeline and execution with key stakeholders are of equal importance.
  • Ensure data integrity, governance, documentation and reproducibility.
  • Independently manage workload, communicate progress and drive project delivery.
Required Qualifications
  • Minimum 5 years’ experience, with 3+ years in relevant analytics roles.
  • Bachelor’s/Master’s in Computer Science, Electronics, Pharmacy, Life Sciences, Data Science, Statistics or related field.
  • Prior Experience with structured datasets: DRG, Symphony, IQVIA, McKesson.
  • Strong proficiency in SQL, Python, Excel, PowerPoint.
  • Experience in Pharma/life-science consulting or analytics agencies.
  • Exposure to RWE sources including EHR/EMR, CMS datasets.
  • Understanding of LoT frameworks, treatment guidelines and market-access structures.
Preferred / Nice to Haves
  • Working knowledge of Python and visualisation tools (Power BI, Tableau).
  • understanding of data modeling and statistical techniques.
  • Client-facing experience with ability to translate analytics into business insights.
  • Therapy-area familiarity (oncology, immunology, rare diseases).
  • Experience conducting stakeholder workshops or building interactive dashboards.

Experience working with global teams and multi-geography datasets.

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at [email protected].

Recruitment Fraud Warning: Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at [email protected] so we can investigate and take appropriate action.

Candidates must be legally authorized to work in the country of employment without employer sponsorship.

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