Senior Program Manager — Translational Medicine, AI & Digital R&D
Delivering complex scientific and AI programs from strategy to regulatory impact.
I help pharmaceutical and biotech organizations deliver complex scientific, AI, and digital R&D programs that accelerate clinical development and regulatory success. Open to fractional, interim, and full-time program leadership roles.
Flagship program — Phase III nemolizumab, Galderma
Biomarker strategy
Multi-omics strategy integrated into the Phase III program plan
Cross-team alignment
4 cross-functional teams aligned across 3 sites
Delivery velocity
Reporting cycle time cut by 30%
Regulatory outcome
First-time FDA + EMA acceptance of the biomarker data package
About
Science-fluent, delivery-obsessed.
PC
Portrait pending — add assets/prasad-chaskar.jpg
I combine a PhD in Life Sciences with more than ten years of experience leading cross-functional scientific and digital initiatives across pharmaceutical R&D — most recently as Senior Translational Medicine Program Manager at Galderma (details under Track Record).
Recently completed PMP® certification and currently advancing expertise in AI program management (CPMAI). I'm now taking on freelance, fractional, interim, and full-time program leadership roles across pharma, biotech, and MedTech.
10+ Years
Delivering Complex R&D Programs
FDA + EMA
Regulatory submission experience
4 Teams
Cross-Functional Leadership
14+ Articles
Published Scientific Research
Focus areas
Where I add the most value
Four areas where scientific depth and program discipline compound into faster, cleaner delivery.
01
AI & digital R&D program leadership
Identifying and prioritizing AI/ML use cases across translational science and clinical development, and turning them into scoped, deliverable programs — backed by PMP® and CPMAI training.
02
Biomarker & translational program leadership
End-to-end delivery of biomarker and multi-omics programs — governance, milestone tracking, and cross-functional alignment across clinical, bioinformatics, and lab workstreams.
03
Regulatory submission delivery
Coordinating the data packages, timelines, and stakeholder alignment behind FDA and EMA submissions — built on direct experience taking a biomarker package through first-time acceptance.
04
Data & multi-omics governance
Setting up the pipelines, data governance, and sprint-based delivery frameworks that keep high-dimensional biomedical data programs auditable and on schedule.
- PhD-level scientific credibility in translational medicine
- PMP®-certified program management
- First-time FDA/EMA regulatory submission experience
- Cross-functional delivery across global, multi-site teams
- AI program management training (CPMAI, in progress)
- Hands-on multi-omics & biomarker data expertise
Testimonials
What collaborators say
“
I had the pleasure of working with Prasad on a high-stakes translational medicine project, contributing to official documentation for an FDA BLA submission. Prasad seamlessly coordinated the work of several data science consultants, showing resilience and adaptability in keeping diverse stakeholders aligned throughout the project. His technical skills in bioinformatics, Nextflow, and single-cell data analysis are exceptional — what truly sets him apart is his character: collaborative, smart, hard-working, humble, and genuinely kind.
“
Prasad Chaskar led bioinformatics at Galderma, where he supervised my work as an external statistical consultant for three years. What stays with me is how he read an analysis: he went to the assumptions, not the conclusions, and asked the one question that showed he had actually read it. Nothing was waved through because it looked plausible. He was also curious well beyond his own field. I work with unsupervised factorization methods (NMF/NTF), which sit some distance from standard bioinformatics practice. He did not steer back to the familiar pipeline; he wanted to know what they assumed and what they would recover. He does not oversell himself, so I will do it for him: he is the person you want owning the science behind a decision. I would work with him again without hesitation.
“
Ce qui le distingue, c'est sa rigueur et son sens de l'organisation. Il pilote ses projets avec maîtrise méthodologique : périmètres cadrés, risques anticipés en amont, livrables tenus dans les délais, et parties prenantes alignées à chaque étape. Dans un environnement où la complexité est souvent la norme, cette capacité à tenir le cap sans improviser est un vrai atout stratégique. Je le recommande sans hésitation à toute organisation cherchant un profil fiable et structuré pour piloter des projets complexes.
Track record
Where this experience was built
Jan 2022 — Dec 2024
Senior Translational Medicine Program Manager
Galderma, Lausanne (CH)
Led a cross-functional program team across clinical, biomarker, bioinformatics, and regulatory workstreams for the Phase II/III nemolizumab program. Integrated a multi-omics biomarker strategy that aligned 4 teams across 3 sites and led to first-time FDA/EMA acceptance of the biomarker data package. Built a digital biomarker governance framework and sprint-based delivery workflow that cut reporting cycle time by 30%.
Oct 2018 — Jan 2022
Clinically Attached Bioinformatician / Project Coordinator
Geneva University Hospitals (HUG)
Managed precision medicine and translational research projects bridging biomarker discovery and clinical application. Developed a genomic alteration detection algorithm adopted into routine practice at HUG's Molecular Tumor Boards, and co-authored peer-reviewed oncology publications, including as first/senior author.
Feb 2017 — Sept 2018
Research Scientist / Translational Project Contributor
Nestlé Institute of Health Sciences
Ensured milestone delivery and data quality across the multi-institutional HUMAN Longevity consortium, coordinating biomarker discovery activities that identified biomarkers linked to diabetes treatment response.
Mar 2016 — Aug 2016
Data Scientist
Philip Morris International, Neuchâtel
Developed integrative analytics workflows for systems toxicology and product risk assessment, enabling evidence-based scientific decision-making.
2016
PhD, Life Sciences
University of Lausanne / SIB Swiss Institute of Bioinformatics
Thesis on a protein–ligand docking method integrated into Swiss drug design tools.
Core expertise
Tools & domains
AI & digital R&D strategy
- AI/ML workflows
- AI & data roadmaps
- Digital transformation
- Digital vision definition
- Emerging tech scanning
- CPMAI (in progress)
Program management
- Milestone tracking
- Risk management
- Governance reporting
- Agile & hybrid delivery
- Sprint-based workflows
- Jira · MS Project · ClickUp
Translational medicine
- Biomarker development
- Multi-omics
- Transcriptomics
- Pharmacogenomics
- Precision medicine
- FDA / EMA submissions
Data & analytics
- R · Python · SQL
- Nextflow · NGS pipelines
- Single-cell analysis
- Data governance
- Git · Docker · Linux · Cloud
- GxP-adjacent compliance
Technical work
From GitHub, live
Pulled directly from my public repositories — this list updates itself as new work goes up.
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Engagement models
Ways to work together
AI & digital strategy advisor (R&D / clinical)
Scoping and prioritizing AI/ML use cases, and translating them into governed, deliverable programs.
Fractional or interim program manager for biomarker & data programs
Hands-on delivery leadership for biomarker, multi-omics, or translational data initiatives.
Translational data strategy lead
Full-time or interim leadership for digital transformation initiatives across R&D.
Contact
Let's talk about your program.
Lausanne region, Switzerland
Swiss C Permit — no sponsorship required