Bioinformatics AI ML job opening at Sanofi, apply online

Bioinformatics AI ML job opening at Sanofi, apply online

Bioinformatics AI ML job opening at Sanofi, apply online. Interested and eligible applicants can view all the details below:

AI/ML Data Scientist

Hyderabad, India

Permanent

Posts: July 23, 2025

closure: August 10, 2025

Position: AI/ML Data Scientist

Location: Hyderabad

About work

Transform healthcare through innovation. At Sanofi, we are not just developing treatments, but we are pioneering the future of healthcare by leveraging data insights and the power of responsible AI to accelerate groundbreaking treatments.

As an AI/ML scientist on the AI ​​and Computational Sciences team:

Promote innovation that directly affects patient outcomes
Work with world-class scientists to solve complex healthcare challenges
Apply advanced AI technology to increase the success rate of drug development
Shaping the responsible use of AI in life-saving medical research

Be part of an important mission. Join a team that transforms data into life-changing treatments and allows your expertise to make meaningful differences in patients' lives.

Our team:

The AI ​​and Computational Sciences team are key teams within R&D Digital, focusing on imaging, OMIC, wearable sensor data and clinical data analysis. This team plays a key role in bridging the gap between general digital products and specific project needs.

We are joining the elite AI and computational science teams and looking for skilled AI/ML data scientists to utilize cutting-edge AI to revolutionize healthcare. As a key player within R&D Digital, we transform complex data into life-changing medical breakthroughs.

The impact you have

• Drive innovation across multiple impact domains:
• Precision medicine: Developing patient response prediction models that personalize treatment
• Advanced OMICS analysis: Pioneering cell type and cell stage quantification techniques
• Advanced Image/Video Analysis: A Leading Application of cutting-edge computer vision methods to gain unprecedented insights into drug effects from medical images/video
• Digital Health: Design new biomarkers from wearable sensor data
• Biological Insights: Develop enzyme characterization prediction algorithms and perform disease path analysis

Your growth journey

• Technical acquisition: Develop image analysis, time series modeling, Genai, AI agents, and explainable AI-wide expertise
• Scientific Impact: Published in the highest level AI/ML journal and secure patents to protect groundbreaking innovation
• Global Impact: Expand solutions that impact patients all over the world

Your environment

• Elite Team: Agile, high-performance environment with AI/ML experts and drug development experts.
• Cutting-edge resources: Access Sanofi's cutting-edge cloud infrastructure and data platforms
• Continuous Learning: Expand your leadership and AI/ML skills with mentorship and training opportunities

Join AI-First Vision

It will become part of Sanofi's bold transformation.
Develop your skills through world-class mentorship and training
Chasing the miracles of science to improve people's lives
Ready to transform healthcare through the power of AI?

Main responsibility:

Exceptionality in the research stage

• Design and implement AI models for target identification and validation using multiomic data (genomics, proteomics, transcriptomics)
• Develop prediction algorithms for molecular design for compound selection and accelerate lead optimization
• Creating a computer vision system for high-throughput screening image analysis and cellular phenotypes

Clinical Development Innovation

• Engineer digital biomarkers from wearable sensors and mobile devices allow for objective and continuous patient monitoring
• Implement advanced time series analysis of real-time patient data to detect early efficacy signals
• Identify Responder populations and design AI-powered patient stratification models to optimize trial design

Multimodal Data Integration

• Architect system that harmonizes a variety of data types (imaging, OMICS, clinical, text, sensors) with a unified analytical framework
• Develop new feature extraction techniques across modalities to enhance predictive power
• Create visualization tools that present complex multimodal insights to clinical teams

Scientific influence

• Work with cross-functional teams to translate AI insights into actionable drug development strategies
• Findings presented to science and business stakeholders of various technical backgrounds.
• Publish innovative methodologies in top-class science and AI/ML journals
• Contributes to patent applications to protect new AI/ML approaches

About You

experience: 3-5 years of experience in AI/ML and development of computational model development for multimodal data such as OMICS, biomedical imaging, texts, and clinical trial data

Important functional requirements:

• We have demonstrated successful implementation of AI/ML projects
• 3-5 years of experience in computational modeling or AI/ML algorithm development, or other related fields
• Deep understanding and achievements in developing model training pipelines and workflows
• Excellent communication and collaboration skills
• Work knowledge and comfort using agile methodology

Technical Skills:

• Programming Proficiency: Advanced Python Skills (Pytorch, Tensorflow, Jax) with experience in ML frameworks
• Machine Learning: Deep expertise in monitored, unsurveillanced, reinforcement learning algorithms
• Drug discovery: molecular design, docking, binding site prediction, mRNA vaccine design, ADMET properties, protein structure prediction, molecular dynamics simulation
• Deep Learning: Experience in designing and implementing neural network architectures (CNNS, RNNS, Transformers
• Computer Vision: Proficiency in Image Processing, Segmentation, and Object Detection Techniques (SAM, VIT, Spreading Models, MediaPipe, MMophes, Monodepth, VoxelNet, SlowFast, C3D))
• Natural Language Processing: Experience in large-scale language models, text mining, and information extraction (Openai, Claude, Llama, Qwen, Deepseek model series)
• Time Series Analysis: Expertise in analyzing time data from sensors and wearable devices (HAR Foundation model, compliance detection model)
• OMICS analysis: Knowledge of how to calculate protein genomics, proteomics, or transcriptome data
• Cloud Computing: Experience in deploying ML models on cloud platforms (AWS)

Tools and Technology:

• Data Processing: Experience with Data Pipelines and ETL Processes
• Version Control: Proficiency in Git and Collaborative Development Workflows, Docker
• MLOPS: experience in model deployment, monitoring and maintenance
• Visualization: Ability to create compelling data visualizations (Matplotlib, Seaborn, Plotly)
• Experimental Tracking: Be familiar with tools such as MLFLOW, weight, bias, or similar platforms

Soft Skills:

• Strong scientific communication skills for technical and non-technical audiences
• Collaborative thinking about team environments that go beyond functionality
• A problem-solving approach with the ability to translate business needs into technical solutions
• Work independently and voluntarily with the ability to advance projects

education: PHD/MS/BE/BTECH/ME/MTECHComputer Science and Engineering, AI/ML, and other related engineering fields, computational biology, data science, bioinformatics or related fields (equivalent experiences)

priority: Publication or Publication github

language: English

Why choose us?

Bringing the miracles of science back to life with a collaborative, future-focused team
Whether it's a promotion at home or a lateral movement, discover endless opportunities to boost your talent and promote your career
Enjoy thoughtful, well-made reward packages that recognize your contributions and amplify your impact
With a wide range of health and wellness benefits, including high quality health care, prevention and wellness programs, pay attention to yourself and your family
You can work in an international environment, work with diverse business teams and vendors, work with dynamic teams, propose and implement innovative ideas.

Click here to apply online

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