Associate Scientist

                                                               JOB DESCRIPTION

Designation: Associate Scientist – 8-I

Job Location: Bangalore

Department:Translational Sciences – Image Analyst/ Information Analyst (Digital Pathology)

About Syngene

Incorporated in 1993, Syngene International Ltd. is an innovation-focused global discovery, development and manufacturing organization providing integrated scientific services to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods and specialty chemical industries around the world. Syngene’ s clientele includes world leaders such as Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA and Herbalife. Its innovative culture is driven by the passion of its 4240- strong team of scientists who work with clients from around the world to solve their scientific problems, improve R&D productivity, speed up time to market and lower the cost of innovation.

Job Purpose:          

Independently design and develop digital image analysis algorithms for detection & quantification of tissue components & stain expression, including tumor/stroma classification, cellular feature extraction and object detection in H&E, IHC, and/or Immunofluorescence (IF) stained images

Key Responsibilities:

• Independently design and develop digital image analysis algorithms for detection & quantification of tissue components & stain expression, including tumor/stroma classification, cellular feature extraction and object detection in H&E, IHC, and/or Immunofluorescence (IF) stained images.
• Develop and implement machine learning, deep learning, and computer vision algorithms for digital pathology and biomedical imaging applications.
• Apply CNNs, Vision Transformers, Foundation Models, and emerging AI methodologies to pathology and spatial biology datasets
• Lead end-to-end execution of image analysis projects with minimal supervision, including problem definition, solution design, implementation, validation, and reporting.
• Build reproducible and scalable image analysis pipelines.
• Document projects, algorithms, and results in detail with the ability to proof read and record results as per regulatory standards.
• Perform statistical analysis & data visualization using Power BI, RR, Python and/or MATLAB.
• Contribute to process improvements, innovation initiatives, and implementation of best practices in analytics workflows.
• Work collaboratively in project teams composed of pathologists, scientists, and image analysts.
• Actively participate in SOP & WI preparation and periodic review. Document and maintain appropriate work records including the ELN
• Perform other duties as instructed.

Educational Qualification: 

Master’s degree in biological science/ biomedical Engineering/ computer science/ Bioinformatics, or related discipline with minimum 3-5 years of experience in image analysis/processing in Pharma/ Biotech/ R&D.

Technical/functional Skills:

• Prior experience working within the biotech/pharma industry, processing and analyzing digitized pathology whole slide images is desired.
• Hands on experience on development of Image processing & Deep learning architectures like CNN, RNN, GAN, Transformers etc. for feature extraction, segmentation, object detection & classification.
• Experience in one or more digital pathology analysis software packages; including HALO, Visiopharm, Definiens, Inform and/or Aperio Image Analysis is a plus.
• Excellent programming skills in one or more analytics packages such as R, Python and/or MATLAB.
• Knowledge of various digital imaging scanners & understanding of chromogenic IHC and fluorescent stains is desired.

Experience:

Master’s degree in biological science/ biomedical Engineering/ computer science/ Bioinformatics, or related discipline with minimum 3-5 Years of experience in image analysis/processing in Pharma/ Biotech/ R&D.

Behavioral Skills:

•      A proactive team player.

•      Ensure completion of experiments and generate accurate and reproducible data from experiments.

•      Ability to work independently, prioritize tasks and work on multiple projects simultaneously with comfortable working in a dynamic environment with changing requirements.

•      Good oral and written communication and presentation skills to work in a multi-disciplinary team

Equal Opportunity Employer:

It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.