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Location
In office (Pune)
Seniority
Staff · 3+ years exp

Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Nov 5, 2026.

Overview
Company
Impact
Profile match
ProcDNA is a healthcare consulting firm delivering data, analytics, AI, and technology solutions for smarter, faster life sciences decisions.

Position: AssociateEngagementLead

ToolRequired:SQL,Excel,Python,R,VBA

Location:Pune-India

AboutProcDNA

ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 6 offices, all growing and learning together since our launch during the pandemic.Here,youwon'tbestuckinacubicle-you'llbeoutintheopenwater,shapingthefuturewith brilliant minds. Ready to join our epic growth journey?

Whatwearelookingfor

Areyoupassionateaboutuncoveringinsightsfrompatient-leveldatatoshapebetteroutcomesinlife sciences? At ProcDNA, we’re growing our Patient Analytics Team and are looking for an Associate EngagementLeadwith3+yearsofhands-onexperienceinpatientjourneyanalyticswithinthe pharma space.

Whatyou’lldo

  • Lead client discussions and deliver custom analytics solutions around patient journey mapping,treatmentprogression,andbehavior segmentation.
  • Developandvalidatepatient-leveldatasetsby integrating claims, EMR, and specialty pharmacy dat
  • Translatecomplexdataintoactionableinsights to support brand, access, and medical strategies
  • Collaborate with cross-functional teams, includingcommercial,marketaccess,and field operation
  • Contributetobuildinginternal acceleratorsfor cohortidentification,line-of-therapyanalytics, and patient journey visualization
Must have
  • 3 - 4.5 years of experience in patient-level analyticsacrossindications,brands,orlife cycle stages
  • StronganalyticalandSQLskills;experiencewithPythonisaplus.
  • Proficiency in Excel and PowerPoint with a strongabilitytocreateandpresentclear,data driven narrative
  • Experienceworkingwithlongitudinaldata sources (e.g., claims, EMR, SP Hub)
  • Strongcommunicationskillswiththeabilityto distill complex data into strategic insights
  • Comfortworkingwithglobalteamsandclients in a fast-paced, evolving environment
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