Happiest Minds - Module Lead - Medical/Biomedical Domain

Module Lead (5-8 yrs)

Roles & Responsibilities:

- Lead end-to-end research initiatives in medical/biomedical domains, including hypothesis formulation, study design, and interpretation.

- Apply advanced mathematics, biostatistics, modelling, and statistical inference to analyse medical or biomedical datasets.

- Develop and implement Python-based data pipelines, exploratory analysis, and model development.

Build, evaluate, and optimize Machine Learning and Deep Learning models for research insights, biomarker identification, and healthcare signal analysis.

- Conduct systematic literature reviews, scientific evidence synthesis, and meta-analysis to support scientific positioning and product decisions.

- Translate research outcomes into digital/IT deliverables, collaborating closely with data scientists, clinicians, and engineering teams.

- Prepare and support scientific publications, whitepapers, and research documentation.

- Review, analyse, and summarize biomarker literature, clinical frameworks, and emerging healthcare trends.

- Contribute to regulatory/clinical validation activities if required and mentor junior researchers or analysts.

Required Skills & Qualifications:

- PhD in healthcare-related discipline (Life Sciences, Biomedical Engineering, Molecular Biology, Physiology, Clinical Research, etc.).

- Minimum 2-3 years of IT/industry experience applying scientific or analytical skills in digital health, AI/ML, or research environments.

- Combined academic and professional experience totaling 5-8 years (Professor/Research Fellow experience included).

- Very strong mathematics and statistical fundamentals, including research methodology and inference.

- Hands-on experience in Python (NumPy, Pandas, SciPy, Scikit-learn, PyTorch/TensorFlow).

- Proven exposure to Machine Learning, Deep Learning, model development, validation, and evaluation frameworks.

Preferred / Added Advantages:

- Background in life sciences or biomedical sciences.

- Prior experience with biomarkers, translational medicine, precision medicine, or aging research.

- Experience handling RWE, high-dimensional biomedical data, omics datasets, or clinical datasets.

- Experience writing or contributing to peer-reviewed publications.

Note : For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.