Scientist Jobs At Syngene
Looking for high-growth Scientist Jobs in India’s thriving biotechnology sector? Here’s an exciting opportunity from Syngene Careers for the position of Associate Scientist – Digital Pathology in Bangalore. This role offers professionals with expertise in bioinformatics, image analysis, artificial intelligence, and biomedical sciences a chance to work on cutting-edge drug discovery programs. If you’re searching for premium Biotech Jobs and advanced Scientist Jobs in a globally recognized research organization, this opening could be your next career milestone.
About Syngene Careers
Syngene International Ltd. is a leading innovation-driven contract research, development, and manufacturing organization established in 1993. The company provides integrated scientific services across pharmaceuticals, biotechnology, nutrition, animal health, consumer goods, and specialty chemicals.
With over 4,000 scientists and partnerships with global organizations such as Bristol-Myers Squibb, Baxter, Amgen, GSK, and Merck KGaA, Syngene Careers continue to attract top talent seeking impactful Scientist Jobs and advanced Biotech Jobs in India.
Job Details
- Job Title: Associate Scientist – Digital Pathology (Image Analyst / Information Analyst)
- Location: Bangalore, Karnataka, India
- Company: Syngene International Ltd.
- Department: Discovery Biology & Translational Sciences (DBTS)
- Designation: Associate Scientist – 8-I
About Syngene
Syngene International Ltd. is an innovation-focused global discovery, development, and manufacturing organization that provides integrated scientific services to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods, and specialty chemical industries worldwide. Established in 1993, Syngene partners with leading global organizations to accelerate research, improve R&D productivity, and reduce the time and cost of innovation.
Position Overview
Syngene is seeking an Associate Scientist – Digital Pathology to support digital pathology informatics and image analysis initiatives within the Discovery Biology & Translational Sciences team. The role focuses on developing and optimizing image analysis algorithms, deploying deep learning models, performing quantitative pathology assessments, and generating actionable insights from complex biological imaging data.
The ideal candidate will combine expertise in computational image analysis, machine learning, pathology informatics, and data analytics while collaborating with multidisciplinary teams comprising pathologists, scientists, and bioinformaticians.
Key Responsibilities
Digital Pathology & Image Analysis
- Design, develop, and optimize image analysis algorithms using digital pathology software platforms.
- Perform quantitative analysis of immunohistochemistry (IHC) staining, including:
- Tumor and stromal tissue classification
- Cellular segmentation
- Feature extraction
- Biomarker quantification
- Develop robust image processing workflows for pathology applications.
- Support image-derived data generation for translational and discovery research programs.
Artificial Intelligence & Deep Learning
- Develop, train, validate, and deploy deep learning models for image analysis applications.
- Work with advanced AI architectures including:
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Generative Adversarial Networks (GANs)
- Transformer-based models
- Evaluate model performance, limitations, and applicability for pathology datasets.
- Implement automated workflows for image classification, object detection, and feature extraction.
Programming & Data Analytics
- Utilize Python programming for:
- Image processing
- Workflow automation
- Data manipulation
- Model development
- Perform statistical analysis and data visualization using:
- Python
- R
- MATLAB
- Power BI
- Generate meaningful biological insights from image-derived datasets.
Documentation & Compliance
- Document algorithms, methodologies, workflows, analyses, and results in accordance with organizational quality standards.
- Maintain detailed records to support scientific reproducibility and regulatory compliance.
- Prepare technical reports, presentations, and project summaries.
Collaboration & Continuous Improvement
- Collaborate closely with pathologists, biologists, data scientists, and image analysts across multidisciplinary teams.
- Participate in project discussions and scientific review meetings.
- Contribute to the continuous improvement of image analysis pipelines and best practices.
- Share technical knowledge and mentor team members where appropriate.
Educational Qualification
Candidates should possess:
- Ph.D. in:
- Bioinformatics
- Biological Sciences
- Biomedical Engineering
- Or a related discipline
- OR
- Master’s degree in the above-mentioned disciplines with relevant industry experience.
Technical Skills & Competencies
Digital Pathology Platforms
Hands-on experience with one or more of the following:
- HALO
- Visiopharm
- Definiens
- inForm
- Fiji/ImageJ
- Aperio Image Analysis
Image Processing & Machine Learning
- Development of image analysis workflows and algorithms.
- Experience in:
- Feature extraction
- Object detection
- Image segmentation
- Classification models
- Deep learning expertise using:
- CNNs
- RNNs
- GANs
- Transformer architectures
Programming Skills
Strong programming proficiency in:
- Python
- R
- MATLAB
Data Analytics
- Statistical analysis
- Data visualization
- Quantitative image analysis
- Model performance evaluation
Experience Requirements
Ph.D. with 1–2 years of relevant experience
OR
M.Tech/Master’s degree with 3–5 years of relevant experience
Experience should be in one or more of the following areas:
- Pharmaceutical Research
- Biotechnology Research
- Digital Pathology
- Biomedical Image Analysis
- Computational Biology
- Translational Research
Behavioral Competencies
- Proactive and collaborative team player.
- Strong analytical and problem-solving skills.
- Ability to work independently and manage multiple projects simultaneously.
- Comfortable working in dynamic research environments with evolving priorities.
- Strong attention to detail and commitment to data quality and reproducibility.
- Excellent written, verbal, and presentation skills.
- Effective stakeholder management and cross-functional collaboration abilities.
Preferred Candidate Profile
The ideal candidate is a scientifically driven image analyst with expertise in digital pathology, machine learning, and computational biology. They should possess strong programming capabilities, experience working with pathology imaging platforms, and the ability to transform complex image data into meaningful biological insights that support drug discovery and translational research initiatives.
