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Job Description
As a Senior Scientist, you will be responsible for both independent and collaborative work
WHAT YOU WILL DO:
Design, develop and validate innovative AI-enabled medical image analytics pipelines to support the deployment of imaging biomarkers for drug discovery and development.
Generate key biomarker data driven insights through the development and deployment of novel AI-ML based analytical pipelines that enable efficient data mining of big biobank datasets.
Design and implement innovative computational models for deriving parametric maps from medical images. Perform rigorous validation of the biomarkers with various test cases.
Collaborate with internal and external stakeholders to design and execute imaging experiments and plans
Participate in team meetings and contribute to discussions on project progress and findings. Attend and potentially present at relevant conferences, demonstrating a commitment to professional growth and knowledge expansion.
Present research results to clinical and discovery teams, including writing manuscripts for submission to peer-reviewed journals.
Recommend changes in the direction or emphasis of original research approaches. Original ideas and concepts, creative thinking, and their implementation are expected at this level.
Proactively suggest new research ideas, show creative thinking, and propose changes to research approaches as needed.
Maintain data integrity and compliance by managing the data lifecycle, accurate record-keeping, and authoring documentation including image analysis workflows (e.g., SOP, QA/QC plan), research reports, project meeting minutes, and study logs.
WHAT YOU MUST HAVE:
PhD or Master’s degree with a minimum of 3 years of research experience in Engineering, Computational Sciences, or Biomedical/Life Sciences, with a focus on research in medical image analysis.
Hands-on research experience in implementing AI-based medical image analysis pipeline using languages like MATLAB, Python, or R; including scikit-learn, pytorch, tensorflow tools is required.
Hands-on research experience involving large scale imaging datasets (e.g., MRI, CT etc.) from Biobanks (e.g., UK Biobank) or cohort studies is highly advantageous.
Proficiency in data analytics, visualization and interpretation using Python (seaborn, matplotlib) or R (ggplot2, corrplot) is required.
Experience as a software engineer in software development, specifically in medical image processing, and as a full stack developer with proficiency in Python, Java, and JavaScript would be advantageous.
Knowledge in cardiometabolic disease and/or neuroscience disease biology is highly desired.
Strong organizational skills, attention to detail, and ability to work independently and as part of a team.
Ability to prioritize multiple tasks and strong time management skills to meet challenging study timelines.
Ability to learn drug research and disease biology and develop appropriate imaging biomarker solutions to overcome challenges associated with drug discovery and development.
Strong written and oral communication skills.
Self-inspired and enthusiastic team player capable of working in a highly collaborative, cross-functional working environment.
An individual who possesses a positive, proactive attitude and embodies a growth mindset.
WHAT YOU CAN EXPECT:
Opportunity to work at the interface of multiple disciplines and integrate medical and disease biology, imaging and novel technologies, bigdata/biobanks and AI-ML/data science.
Collaboration with a team committed to leveraging AI/ML for drug development.
Opportunities for applying your innovative mindset to experiment with new ideas and approaches.
A supportive working environment that fosters career growth and continuous learning.
Additional Information:
Please provide a LinkedIn profile, publications in conferences/journals, or any relevant profiles (Google Scholar, Github, Stack Overflow, Arxiv, and/or Kaggle) if available .
WHAT WE LOOK FOR …
Current Contingent Workers apply
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