. This role demands a sharp strategic thinker with
hands-on technical depth
,
product ownership mindset
, and a solid grasp of
pharma domain knowledge
-- from
primary market research (PMR) insights
,
competitive intelligence (CI)
, to
brand strategy
.
If you can translate brand/medical/commercial objectives into robust, scalable product solutions using
AWS-native architectures
,
ML/GenAI models
, and
modern DevOps practices
, you belong here.
Key Responsibilities
#
Product Leadership
Own the end-to-end product lifecycle from discovery to launch across pharma/life sciences use cases.
Translate unmet market and brand needs into differentiated, scalable, and user-centric product solutions.
Prioritize features across platform modules by aligning commercial, medical, and data science needs.
Partner with commercial, brand, and medical teams to translate PMR and CI into actionable product features.#
Technical & Platform Strategy
Drive architectural discussions and product decisions around
AWS cloud infrastructure
, including
Glue
,
Athena
,
Data Lake
,
S3
,
Lambda
, and
Step Functions
.
Collaborate with engineering to ensure
CI/CD pipelines
,
Docker
,
Kubernetes
, and
ML Ops practices
are integrated for faster product iterations.
Enable delivery of GenAI capabilities in the platform -- from document intelligence, medical NLP, summarization to insight generation.#
Data & AI Productization
Lead data strategy for ingesting, cleaning, and transforming
EMR, Claims, HCP/HCO, and RWD data
using
PySpark
,
SQL
, and
data pipelines
.
Build roadmap around ML/GenAI-driven use cases: e.g., treatment pathway prediction, KOL segmentation, site recommendation, competitive tracking.
Collaborate with data scientists to deploy models in production using APIs and cloud-native services.#
Market & Domain Expertise
Leverage deep knowledge of
pharma workflows
(Medical Affairs, Market Access, Clinical Dev, Commercial Ops).
Map out patient journeys, treatment landscapes, and brand objectives into platform features.
Convert PMR data and CI signals into competitive positioning and product differentiation.
Required Qualifications
6-8 years of experience
in product management or technical product ownership.
Strong experience in
pharma or life sciences industry
-- ideally in commercial, medical, or clinical tech products.
Proven hands-on experience with
AWS cloud architecture
, especially Glue, Athena, Data Lake, Step Functions.
Proficient in
Python
,
SQL
,
PySpark
, and working knowledge of
ML modeling & GenAI frameworks (LangChain, OpenAI, HuggingFace, etc.)