Research Investigator

                                                               JOB DESCRIPTION

Designation: Associate Scientist – 8-I

Job Location: Bangalore

Department: Discovery Biology & 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:         

Lead digital pathology informatics/ image analyst requirements at BBRC

Key Responsibilities:

1. Design, develop, and optimize algorithms in one or more digital pathology analysis software packages for quantification of IHC staining expression, including tumor/stroma classification and cellular feature extraction.


2. Apply strong proficiency in Python programming to support image analysis workflows, data processing, and model development.


3. Train, evaluate, and deploy transformer-based deep learning models for image analysis and inference, with an understanding of model performance and limitations.


4. Perform statistical analyses and data visualization using Power BI, R, Python, and/or MATLAB to derive actionable insights from image-derived data.


5. Document algorithms, analyses, methodologies, and results in a clear and detailed manner, ensuring compliance with internal quality standards and regulatory requirements.


6. Collaborate effectively within cross-functional teams comprising pathologists, scientists, and fellow image analysts to deliver high-quality project outcomes.


7. Demonstrate strong interpersonal and communication skills, enabling productive collaboration with diverse stakeholders across disciplines.


8. Contribute to continuous improvement of image analysis pipelines, best practices, and knowledge sharing within the team.

Educational Qualification: 

PhD or Master’s degree in computer science/ bioinformatics, Electronics Engineering, biological science / biomedical Engineering or related discipline

Technical/functional Skills:

• Experience in one or more digital pathology analysis software packages; including HALO, Visiopharm, Definiens, Inform, Fiji, and/or Aperio Image Analysis.


• Hands on experience on development of Image processing & Deep learning architectures like CNN, RNN, GAN, etc. for feature extraction, object detection & classification.


• Excellent programming skills in one or more analytics packages such as R, Python and/or MATLAB.

Experience:

PhD with 1-2 Yrs & M.Tech with 3 to 5 Years relevant experience 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.