Translational Imaging Data Scientist, BMD

Key Skills

Data science techniques, Deep Learning, Design, Effective communication skills, Image processing, Leadership Skill, Machine learning techniques, MATLAB Programming, PyTorch, R Programming, TensorFlow, Translation

Job Description

As a member of the Quantitative Sciences & Innovation (QSI) unit in Biomarker Development, you will join Novartis’ clinical trial team to speed new medicines into the clinic across one of the industry’s largest and most innovative portfolios. By integrating diverse biomarker technologies from First In Human through Phase III clinical trials, you will investigate disease heterogeneity, drug efficacy, and patient safety at a molecular resolution to advance trials in new indications and patient populations. You are a passionate and curious scientist, eager to bring creative solutions to biology’s most daunting challenges on our journey to reimagine medicine. Working alongside dedicated physicians and biomarker scientists, our Data Scientists provide the analytical insights that drive Translational success.

Your main responsibilities will include:

• Conceive, design, and execute exploratory analyses as a Lead Imaging Data Scientist across First In Human, Phase I-III clinical trials, applying advanced analytical methods as required
• Conduct and communicate complex statistical analyses of medical imaging studies to support trial design and registration activities.
• Develop novel computational solutions and provide ‘hands-on’ subject matter expertise for integrating clinical, imaging, and high-dimensional data modalities (genetics, genomics, and/or digital) to inform patient stratification and enrichment strategies
• Work expeditiously as a member of matrixed clinical trials teams with diverse membership and expertise

Position will be located at the Cambridge, MA site and will not have the ability to be located remotely.

Diversity & Inclusion / EEO

The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

Minimum Requirements

Minimum requirements :

What you’ll bring to the role:

• PhD or equivalent experience in medical imaging analysis, including traditional (e.g., atlas based) and modern machine learning methods (deep learning).
• Three or more years of experience in analyzing large imaging datasets in drug discovery/development or relevant academic setting.
• Expert knowledge in python libraries and deep learning frameworks (e.g., Tensorflow, Pytorch) and working experience with open-source imaging visualization and processing tools, such as 3D Slicer, Freesurfer, ANTS and FSL.
• Strong grasp of the strength and limitations of different imaging modalities (e.g., CT, MRI, PET-CT, ultrasound, OCT, fundoscopy)
• Strong understanding of biostatistics and machine learning, including longitudinal analysis, including R and Matlab.
• Experience with PACS systems and image annotation tools.

WHY CONSIDER NOVARTIS?

736 million. That’s how many lives our products touched in 2022. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?

We believe the answers are found when curious, courageous and collaborative people like you are empowered to ask new questions, make bolder decisions and take smarter risks.

We are Novartis. Join us and help us reimagine medicine.

The pay range for this position at commencement of employment is expected to be between $130,400 and $195,600/year; however, while salary ranges are effective from 1/1/23 through 12/31/23, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills and abilities. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.