Senior Expert II Data Scientist in Translational Medicine

<p style="text-align:left"><b>Job Description Summary</b></p>As a Data Scientist in Novartis’ Quantitative Sciences &amp; Innovation (QSI) Biomarker Development unit, you would support global clinical trial teams by applying high-throughput biomarker data from First-in-Human through Phase III to study disease differences, drug effectiveness, and patient safety at molecular detail. The role emphasizes curiosity and creativity, collaborating with physicians and biomarker scientists to generate insights that accelerate translational progress and expand trials into new indications and patient populations.<p style="text-align:inherit"><br /> </p><p style="text-align:left"><b>Job Description</b></p><p><span style="color:#000000"><b>Job Description</b></span></p><p><span style="color:#000000">As a member of the Quantitative Sciences &amp; Innovation (QSI) unit in Biomarker Development, you will join Novartis’ clinical trial teams to speed new medicines into the clinic across one of the industry’s 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 biology’s 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.</span></p><p><span style="color:#000000">Your responsibilities will include:</span><br /><br /></p><ul><li><p><span style="color:#000000">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.</span></p></li><li><p><span style="color:#000000">Participate in and lead cross-functional biomarker collaborations with Discovery and Development partners to support target selection, clinical development, and registration activities.</span></p></li><li><p><span style="color:#000000">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.</span></p></li><li><p><span style="color:#000000">Contribute to shaping the Novartis’ data and digital strategy by adhering to rigorous data engineering principles to unlock AI-powered discoveries.</span></p></li><li><p><span style="color:#000000">Work expeditiously as a member of matrixed clinical trial teams with diverse membership and expertise.</span><br /><br /></p></li></ul><p><span style="color:#000000"><b>Minimum requirements</b></span></p><p><span style="color:#000000">What you will bring to the role:</span></p><ul><li><p><span style="color:#000000">PhD, MD or equivalent experience in computational biology, bioinformatics, statistical genetics, biostatistics, applied machine learning or AI, data science or related field.</span></p></li><li><p><span style="color:#000000">Three or more years of experience in analyzing large-scale biological datasets in a drug discovery/development or relevant academic setting.</span></p></li><li><p><span style="color:#000000">Expert knowledge of statistical programming in R and Bioconductor. Proficiency with Unix/Bash, Python, or similar scripting language a must.</span></p></li><li><p><span style="color:#000000">Strong grasp of human genomics and next generation sequencing technologies, including experience implementing reproducible and scalable pipeline workflows in an HPC or Cloud environment.</span></p></li><li><p><span style="color:#000000">Previous experience in single-cell and/or spatial transcriptomics data analyses, including TCR/BCR repertoire analysis at bulk and/or single-cell level.</span></p></li><li><p><span style="color:#000000"><span>Experience and knowledge of integrative methods to derive biological insights jointly from transcriptomics, proteomics and spatially resolved single-cell data.</span></span></p></li><li><p><span style="color:#000000">Strong understanding of biostatistics and machine learning, including longitudinal analysis.</span></p></li><li><p><span style="color:#000000">Solid understanding of relevant clinical data standards (CDISC), GCP/GxP compliance considerations and working along SOPs.</span></p></li><li><p><span style="color:#000000">Experience with generative coding assistants, copilots and developer tools highly desirable.</span></p></li><li><p><span style="color:#000000">Strong communication skills and ability to lead effective collaborations with cross-functional global scientific teams.</span></p></li></ul><p></p><p><span style="color:#000000"><b>Why consider Novartis?</b></span></p><p><span style="color:#000000">750 million. That’s how many lives our products touch. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: How can we continue to improve and extend even more people’s lives?</span></p><p><span style="color:#000000">We believe the answers are found when curious, courageous, and collaborative people like you are empowered to ask new questions, make bold decisions, and take smart risks.</span></p><p><span style="color:#000000">We are Novartis. Join us and help us reimagine medicine.</span></p><p><span style="color:#000000"> </span></p><p><span style="color:#000000"><b>Division</b></span><br /><span style="color:#000000">Biomedical Research</span></p><p><span style="color:#000000"><b>Business Unit</b></span><br /><span style="color:#000000">Translational Medicine</span></p><p><span style="color:#000000"><b>Country</b></span><br /><span style="color:#000000">India</span></p><p><span style="color:#000000"><b>Work Location</b></span><br /><span style="color:#000000">Hyderabad</span></p><p><span style="color:#000000"><b>Company/Legal Entity</b></span><br /><span style="color:#000000">Novartis Pharma AG</span></p><p><span style="color:#000000"><b>Functional Area</b></span><br /><span style="color:#000000">Research &amp; Development</span></p><p><span style="color:#000000"><b>Job Type</b></span><br /><span style="color:#000000">Full Time</span></p><p><span style="color:#000000"><b>Employment Type</b></span><br /><span style="color:#000000">Regular</span></p><p><span style="color:#000000"> </span></p><p><span style="color:#000000"> </span></p><p style="text-align:inherit"><br /> </p><p style="text-align:left"><b>Skills Desired</b></p>Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis