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Jaspreet GillJG

Jaspreet Gill

Management Consultant

$600/day
Dubai City, AE
3-7 years

Average response time: 1 hour

About Jaspreet

I’m a psychiatry-trained MD, former McKinsey consultant, and London Business School MBA with senior experience at Microsoft AI. I help biotech/biopharma, healthcare AI, and healthtech teams sharpen strategy and accelerate execution, from clinical/product positioning and market landscapes to GTM narratives, partnerships, and investor-ready white papers/decks. I bring deep domain fluency plus top-tier consulting rigour to deliver clear, actionable outputs; I also offer leadership/manager coaching where it supports adoption and scale.
  • English

    Native or bilingual

  • Hindi

    Native or bilingual

  • Urdu

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Microsoft AI (Health)
    Strategic Partnerships & Clinical
    March 2025 - Today (1 year and 3 months)
    Developed medical accuracy standards and content-quality guardrails for AI models, and partnered with Compliance and Legal to align scientific outputs with ethical and regulatory expectations across cross functional reviews and communications. Codified data-handling rules, escalation thresholds, and red-line scenarios for mental-health use cases, establishing a repeatable quality bar and compliance trail analogous to medical/legal/regulatory review. Directed medical input for a clinical incubation with a leading US health system, integrating protocol, safety, and investigator feedback to ensure high-quality model validation and real-world applicability. Delivered strategic commercial and medical insights to marketing and partnership initiatives by mapping the GenAI mental health and neuroscience landscape, evaluating competitor positioning and evidence maturity, and producing a roadmap for product differentiation and future evidence build. Analysed scientific literature and monitored conferences and standards in AI-driven neuroscience and digital mental health, distilling key signals for clinical, regulatory, and product teams to inform study design, risk controls, and compliance frameworks.
    Commercial strategy AI and Advanced Analytics Partnerships Business Intelligence (BI) Strategy Data analysis
  • Compass Pathways
    Commercial & Patient Access
    February 2022 - December 2024 (2 years and 10 months)
    Conducted in-depth literature reviews, market analyses, and continuous surveillance of neuroscience and mental-health developments, attending key congresses (ECNP) and synthesised insights into concise briefings and trainings for internal cross-functional teams on diagnosis, monitoring and treatment trends. Spearheaded the "Mental Health Learning Network," partnering with leading US and UK healthcare providers and academic centres to advance research on diagnostics and care pathways, building and maintaining KOL and SME relationships, convening advisory boards and expert round-tables, and translating insights into updates to medical plans, educational content, and RWE initiatives. Served as a scientific interface to HCPs and partner institutions through the Learning Network and advisory forums, translating emerging evidence into clear guidance for practice and education. Established a content-validation framework and partnered with Medical, Legal, Regulatory, and Compliance to review internal and external materials, ensuring scientific accuracy, audit-ready references, and code-aligned approvals across promotional assets, while providing medical input and accuracy checks for key dossiers including pricing and reimbursement, HEOR, and med info packs. Supported the design and feasibility of outcome-registry and RWE studies, leveraging the Mental Health Learning Network to identify investigators and align study concepts with clinical practice, generating post-marketing insights that informed therapy-area strategy and medical education. Contributed to the development of a centralised, evidence-based scientific research and communication platform on psychedelic medicine, working with regulatory, compliance, and legal teams to produce educational materials tailored for patients, clinicians, investors, and policymakers.
    Market-Entry Strategy Partnerships Strategic planning Commercial strategy Business model
  • McKinsey & Company
    StrategyConsultant
    September 2020 - February 2022 (1 year and 5 months)
    Led cross-functional teams of researchers and engineers to apply unsupervised machine learning clustering on 10m+ patient records in psychiatry & immunology, identifying distinct patient phenotypes enabling asset prioritisation in clinical development and repurposing of pre-commercial assets. Collaborated with data science and UX teams to develop a data-driven field-force enablement dashboard, generating HCP engagement personas based on content and channel preferences and using the insights to refine training materials and communication strategies, resulting in >30% increase in engagement and contacts in Y1 . Led competitive and pipeline intelligence and forward-looking analyses of emerging therapeutic areas, identifying growth opportunities and delivering strategy recommendations informed by market intelligence, clinical feasibility, and ROI analysis to guide brand planning and indication prioritisation. Mentored junior team members and client stakeholders in evidence appraisal, compliant communication, and HCP engagement, embedding playbooks and checklists used across workstreams Acted as a trusted advisor to biopharma C-suite executives and senior stakeholders, presenting data driven insights and recommendations to inform strategic decision making.
    Business Intelligence (BI) Strategy Data analysis Competitive Intelligence Product Development Business analysis

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Education

  • MastersinBusinessAdministration(MBA)
    London Business School
    MastersinBusinessAdministration(MBA)
  • King's College London School of Medicine

Skill set

Categories