Principal Scientist

5 months ago

Hyderabad Telangana, India Novartis Full time

**Summary**:
20 petabytes of data 2 million patient-years of information and 30 data domains from preclinical through Phase 3 trials All waiting for you to unlock the next breakthrough in medicine. The Pre-Clinical Safety Project Pathology group in the Biomedical Research (BR) is looking for you, an inspiring leader and authority in machine/deep learning (ML/DL) and imaging data science. We seek a computational scientist to help us pioneer machine learning approaches for the analysis of histopathological whole slide images (WSI). Explore new ways to integrate WSI data with various data sources: in vivo (clinical observations, body and organ weights, clinical pathology and biomarker results and omics) and in vitro toxicology data (off target screening), publications, Real World Evidence (RWE), Electronic Health Records (EHR), clinical trials data, assay data, omics, clinical biomarkers and/or other sources to support decision-making for drug discovery.

**About the Role**:
Key Responsibilities
- We want you to explore novel machine learning methods, extract reliable insight from Whole-slide images (WSI) and identify correlations with multiple related data sources helping us to better understand the mechanisms of toxicity and clinical translatability.
- Provide us with guidance on analysis methods, data visualization, data integration, computational infrastructure, HPC/Cloud workflows for computational pathology.
- Work with different line functions with a focus on digital pathology, secondary pharmacology and multi-modal data integration.
- Share knowledge with colleagues and train them on ML and computational approaches including model understanding/interpretability.
- Represent us in external and intra-departmental collaborations.
- Engage with the broader data science community within Translational Medicine, with data science partners in functions across Novartis, as well as external partners.

Essential Requirements:

- Strong knowledge of mathematical foundations of machine learning (including deep learning), signal processing and image processing.

Desirable Requirement:

- Practical experience in one or more field-relevant programming languages such as Python, C/C++ and R. Hands-on experience with commonly used deep learning frameworks (e.g. TensorFlow, Pytorch) and model architectures.
- Good technical experience and organizational skills to lead complex machine learning projects/initiatives. Demonstrated ability to design, implement and rollout analysis solutions.
- Experience in data visualization and in designing custom practical interactive visual data exploration interfaces for domain specialists (incl. web-based GUI).
- Extensive experience designing and scaling up/implementing large data workflows (especially image data) using a scientific computing environment on Unix/Linux (HPC, AWS/Azure).
- Shown experience in pulling and consolidating data from multiple systems, geographical locations and in varied formats, database design and management.

Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our

Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Division

Biomedical Research

Business Unit

Pharma Research

Location

India

Site

Hyderabad (Office)

Company / Legal Entity

IN10 (FCRS = IN010) Novartis Healthcare Private Limited

Functional Area

Data Science

Job Type

Full time

Employment Type

Regular

Shift Work

No

Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

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