Placements & career outcomes

Career support that goes beyond learning

Every program is built to lead to career transformation, backed by a structured set of outcomes that connect learning directly to hiring.

Built into every program

Career outcomes, structured from day one

Live projectsReal industry work, not toy datasets.

Case studiesGrounded in genuine business problems.

Mock interviewsPractice with people who've actually hired for these roles.

Resume supportPositioning each learner's story for the roles they want.

Portfolio developmentLeaving with proof of work, not just a transcript.

Placement assistanceStructured support from application through to offer.

Industry certificationA credential recognized across pharma employers.

Ongoing communityStaying connected with peers and mentors after graduation.

Dual target batches

Career transition & GCC aspirant batches

Career transition batch

Built specifically for three groups:

Career break professionals re-entering the workforce
Professionals who have lost jobs due to restructuring
Individuals who want to change fields entirely (a domain switch)

Batch structure includes:

A structured re-entry pathway with skill assessment
Domain re-skilling and analytics training
Intensive job-readiness and placement focus
Targeted, function-specific coaching for a career restart

GCC

Special batch for GCC aspirants

A dedicated curriculum weighted 70% technical and 30% domain, built specifically around the interview formats and functional expectations of Global Capability Centers (GCCs).

Global Capability Centers are offshore/in-country delivery hubs that multinational pharma companies operate for analytics, technology, and shared services work — a major and growing source of pharma analytics hiring in India. GCC interviews tend to weight technical screening (SQL, Python, statistics, case-based data problems) more heavily than domain-only interviews, which is why this batch is weighted 70% technical to 30% domain.

Success stories

What learners say

"The diploma gave me a real project portfolio — that's what got me past the first interview round."

— B.Pharm graduate, Diploma cohort

"Moving from a general analytics role into pharma commercial analytics felt possible for the first time."

— Working professional, career switcher

"Our team's forecasting accuracy conversations changed after the corporate training program."

— Corporate training partner

Industry context

What actually moves the needle in hiring

Across pharma commercial and analytics hiring generally, a certification signals that a candidate has covered a defined body of knowledge, but it rarely closes an interview on its own. What tends to matter more is being able to walk through a real project end to end — the business question, the data and method used, the finding, and what decision it supported — because that is closer to what the candidate will actually be asked to do on the job. This is why portfolio-building and live-project components of a program often carry more hiring weight than the certificate itself, even though both matter.

A large share of pharma commercial analytics, forecasting, and market access roles in India sit inside Global Capability Centers (GCCs) that multinational pharma companies operate for analytics, medical affairs, and commercial operations work, alongside pharma-focused analytics and consulting firms and the analytics arms of major life-sciences consultancies. Demand in this space has generally tracked the broader GCC expansion trend, and roles increasingly ask for GenAI tool familiarity in addition to the traditional SQL/Excel/Power BI baseline.

A common path is: analyst-level roles (commercial analytics, forecasting, or CI) in the first two to three years, moving into senior analyst or associate consultant roles as domain expertise deepens, and from there branching either deeper into a specialization (e.g., becoming a forecasting or market access subject-matter expert) or broader into a generalist commercial strategy or consulting track. Mentorship and mock-interview practice tend to matter most at the first transition — getting into the industry at all — while portfolio depth matters more for the transitions after that.

Assessment

The AIQ score

AIQ

A personalized career-benchmarking assessment, delivered as a 5-page detailed report covering a personalized career path with a 10-year roadmap toward leadership.

Check your AIQ score — let's improve it together.

Check your AIQ score

What a report like this typically includes

Career-benchmarking assessments of this kind generally combine a skills-gap analysis (comparing current tool and domain proficiency against the target role), a benchmark against typical role progression in the field, and a staged roadmap breaking a long time horizon into nearer-term milestones (such as 1-year, 3-year, and longer-term checkpoints) rather than a single distant goal.

Keep it a living document

The value of such a report depends heavily on the honesty of the self-assessment or diagnostic behind it — a useful practice is to revisit and update the roadmap periodically rather than treating the initial report as fixed, since both the individual's skills and the pharma-AI job market are likely to keep changing over a 10-year horizon.

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Apply to a program, or check your AIQ score first.

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