Senior Expert Data Scientist - Translational Medicine

IN10 (FCRS = IN010) Novartis Healthcare Private Limited; India; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Novartis Healthcare Private Limited in India seeks a Lead Data Scientist to join the Quantitative Sciences & Innovation (QSI) unit within Biomarker Development. You will drive exploratory analyses on high-dimensional genomic, omics, and imaging data across early to late-phase trials to accelerate medicines into the clinic.

Collaborate with cross-functional teams, design scalable analysis workflows, and translate complex results for non-technical stakeholders.

Qualifications

• PhD or MD or equivalent in computational biology, bioinformatics or related field.
• 3 years' experience analyzing large-scale biological datasets in drug discovery/development.
• Expert knowledge of statistical programming in R and Bioconductor.
• Proficiency with Unix/Bash and Python scripting.
• Strong genomics knowledge and NGS technologies; scalable pipelines in HPC/Cloud.
• Experience with single-cell/spatial transcriptomics and TCR/BCR analyses.

Responsibilities

• Lead exploratory analyses across First in Human to Phase III trials.
• Collaborate cross-functionally to support target selection and development.
• Provide SME for high-dimensional data to inform disease characterization and enrichment.
• Contribute to data and digital strategy with rigorous data engineering.
• Work in a matrixed team with diverse expertise.

Skills

R & Bioconductor

Python

Unix/Bash

Biostatistics

Machine Learning

Data Visualization

Communication

Genomics

Education

PhD, MD or equivalent in computational biology / bioinformatics / statistical genetics / biostatistics / ML / data science

Tools

Unix

HPC/Cloud

Python

Job description

Job Description Summary

As a member of the Quantitative Sciences & Innovation (QSI) unit in Biomarker Development, you will join Novartis clinical trial teams to speed new medicines into the clinic across one of the industrys largest and most innovative portfolios. By integrating high-throughput biomarker technologies from First in Human through Phase III clinical trials, you will investigate disease heterogeneity, drug efficacy, and patient safety at molecular resolution to advance trials in new indications and patient populations. You are a passionate and curious scientist, eager to bring creative solutions to biologys most daunting challenges on our journey to reimagine medicine. Working alongside dedicated physicians and biomarker scientists in a global multi-disciplinary team, our Data Scientists provide the analytical insights that drive Translational success.

Major Accountabilities

Conceive, design, and execute exploratory analyses as Lead Data Scientist across First in Human, Phase I-III clinical trials, applying advanced analytical methods as required. Participate in and lead cross-functional biomarker collaborations with Discovery and Development partners to support target selection, clinical development, and registration activities. Provide subject matter expertise for high-dimensional clinical data (genetics, omics, digital, and/or imaging) and analysis solutions to inform disease characterization, patient stratification and enrichment strategies. Contribute to shaping the Novartis data and digital strategy by adhering to rigorous data engineering principles to unlock AI-powered discoveries. Work expeditiously as a member of matrixed clinical trial teams with diverse membership and expertise.

Minimum requirements

• PhD, MD or equivalent experience in computational biology, bioinformatics, statistical genetics, biostatistics, applied machine learning or AI, data science or related field.
• 3 years' experience in analyzing large-scale biological datasets in a drug discovery/development or relevant academic setting.
• Expert knowledge of statistical programming in R and Bioconductor.
• Proficiency with Unix/Bash, Python, or similar scripting language a must.
• Strong grasp of human genomics and next generation sequencing technologies, including experience implementing reproducible and scalable pipeline workflows in an HPC or Cloud environment.
• Previous experience in single-cell and/or spatial transcriptomics data analyses, including TCR/BCR repertoire analysis at bulk and/or single-cell level.
• Strong understanding of biostatistics and machine learning, including longitudinal analysis.
• Experience with generative coding assistants, copilots and developer tools highly desirable.
• Excellent communication and ability to translate analytical concepts for diverse audiences and stakeholders.

Skills Desired

• Artificial Intelligence (AI)
• Biostatistics
• Change Management
• Curious Mindset
• Data Governance
• Data Literacy
• Data Quality
• Data Science
• Data Visualization
• Deep Learning
• Graph Algorithms
• Learning Agility
• Machine Learning (ML)
• Machine Learning Algorithms
• Python (Programming Language)
• Stakeholder Engagement
• Statistical Analysis
• Time Series Analysis

Improving the lives of people living with disease takes more than innovative science. It takes a focus on the needs of people and a community committed to meeting them. It takes a team of people like you. Working together. Learning together. Thriving together.