TM Academy Fellow in Biomarker Development (BMD)

:::Please note: This is a temporary contractor opportunity at Novartis ::: Novartis touches the lives of a tenth of the world’s population. Every role here, regardless of contract type, makes an impact on human life! Novartis US partners with external managed service provider Magnit Global to offer engaging temporary contractor opportunities like this, to those who are looking for flexibility in their career while looking to gain new skills and experiences providing services to an inclusive global medicines company. Click here to learn more about Magnit www.magnitglobal.com Ready to work with/through Magnit at Novartis? Please read on... TM Academy Fellow in Biomarker Development (BMD) Novartis is a place where bright, curious minds combine to solve the world’s toughest healthcare challenges and reimagine medicine together. It’s an inspiring environment for aspiring talent. For those embarking on a career in innovative medicines or moving into the industry it’s an opportunity to gain early exposure, experience and insights that are hard to find anywhere else. Biomedical Research’s global Translational Medicine (TM) group builds on basic research advances to develop new therapies that address unmet medical need. We are the crucial bridge between drug discovery and clinical application. Through our work, we increase the speed, quality and productivity of drug discovery and development by Novartis and play a pivotal role in bringing innovative medicines to patients. Our mission in Biomarker Development (BMD) is to deliver cutting-edge biomarkers including proteins, metabolites, cells, genetics, genomics, imaging and digital endpoints with operational excellence, a data-driven mindset, timely delivery, and strong internal and external partnerships. We integrate biomarker modalities, data, technologies, and disease understanding to enable decision-making across all drug development milestones. The TM Academy is a cross-functional program within TM designed for career starters, career changers, and career relaunchers. If you are ready for two transformative years to gain hands-on experience in a diverse, multicultural, global and inclusive environment in early drug development and clinical trials, contributing to innovative programs and projects that help bring breakthrough treatments closer to patients worldwide, then this is the opportunity for you! As part of the TM Academy, you’ll join one of our Translational Medicine departments, depending on your background and interests. This advert is for Biomarker Development (BMD). Duration of program: 24 months Program start: August 2026 Please note that we can only accept applicants who are eligible to work in the United States. The TM Academy is designed for individuals with diverse backgrounds and experiences: • Career starters: recent university degree graduate within the past 2 years • Career changers: professionals with experience from a different field • Career re-launchers: professionals wanting to return to work after a career break Your journey begins with a basecamp: 4-week immersive blended experience designed to introduce you to our organization, the drug development process, the various departments in Translational Medicine, the clinical trial process and the tools and technical platforms needed for your work. Throughout the program, fellows reunite for continuous learning focused on soft skills, cross-functional exposure, and thematic introduction series - broadening your perspective beyond your immediate team and function. As TM Academy fellow in BMD, you will have the opportunity to gain knowledge and contribute to a wide range of translational medicine activities that support clinical trials and research collaborations, with a particular focus on imaging data and analytics. During the TM Academy you will… • Build a strong foundation in translational medicine with guidance and mentorship from industry experts. • Participate in a progressive, blended and flexible learning program that integrates conceptual, theoretical, and experiential techniques. • Join a global network of supportive peers and mentors, collaborating on meaningful projects that help shape the future of medicine. • Gain hands-on experience contributing to and supporting activities across the clinical imaging lifecycle, including imaging data and analytics infrastructure, imaging data standardization, image ingestion, and image quality control (QC) and analysis strategy for clinical trials and research collaborations. • Add to your imaging skillset in areas such as AI-based automation of image QC procedures, analysis method development, and data standardization. • Broaden your professional horizon by doing a deep dive in different data modalities aligned with your interests and based on open opportunities, such as proteomics, transcriptomics, genetics, genomics, and/or digital. • Work expeditiously as a member of matrixed biomarker teams with diverse membership and expertise to deliver timely, high-quality data analyses. • Develop leadership and communication skills, with opportunities to teach and mentor new TM Academy fellows. Role Requirements • Minimum Education: Master's with similar academic emphasis • Imaging Data Infrastructure and Ingestion: Demonstrated interest or experience in the logistics and infrastructure required for large-scale imaging data ingestion, including managing multi-modality and multi-format image transfers, building and maintaining automated workflows to improve efficiency and reliability, supporting clinical trials and research operations, and enabling downstream access for quality control, organization, and analysis. • Image/Data Science Skills: Proficiency in image analysis and data science techniques, including but not limited to image segmentation, feature extraction, machine learning, and statistical analysis. • Programming Languages: Strong programming skills in languages such as Python, Matlab or R, with experience in data manipulation, visualization, and analysis libraries (e.g., NumPy, pandas, matplotlib, scikit-learn). • Imaging Software: Familiarity with imaging software packages (e.g., ImageJ, ITK-SNAP, 3D Slicer) and imaging data formats (DICOM, NIFTI). • Statistical Analysis: Knowledge of statistical methods and tools for analyzing large datasets, including hypothesis testing and regression analysis. • Communication and Collaboration: Ability to effectively communicate technical concepts to both technical and non-technical stakeholders and collaborate with cross-functional teams; excellent organizational, interpersonal, collaboration, and communication skills. • Bioinformatics experience is a plus, especially hands-on analysis of transcriptomics, proteomics, and/or metabolomics. Accessibility and Accommodation Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to diversity.inclusion\_ch@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Important note to apply: When submitting your application to this site, please include your cover letter, resume, and the answers to following Prescreen questions (all in one document for ease of uploading and review). Prescreening questions: • Can you describe a specific project where you built or managed an imaging data pipeline for multi-modality or multi-format data, such as DICOM and NIFTI, including how you handled ingestion, quality control, and downstream access for researchers or clinical trial teams? • Tell me about one hands-on image analysis or data science project where you personally used Python, Matlab, or R for segmentation, feature extraction, machine learning, or statistical analysis. What tools and libraries did you use, and what was your exact contribution? • Have you worked with any bioinformatics data such as transcriptomics, proteomics, or metabolomics, especially in a research setting connected to imaging or clinical data? If yes, what kind of analysis did you perform and how did you explain the results to non-technical stakeholders? Location: Cambridge, MA (Onsite) Required to be in-person 5 days/week the first 4-6 weeks of the program. After that, will be hybrid up to 3 days/week based on business needs and projects occurring. Candidate must be flexible with hybrid days required. Recent graduates (Master's, PharmD): $32.82/hr 1st year; $35.38/hr 2nd year Recent graduated (PhD): $36.41/hr 1st year; $38.97/hr 2nd year Career changers and relaunchers at least 2 years relevant experience: $36.41/hr 1st year; $38.97/hr 2nd year Offering a housing stipend for any candidates requiring relocation to Cambridge, MA if currently more than 50 miles from work site. Contract: 24 month Health, dental, vision, 401k (provided minimum eligibility hours are met) Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accommodation: If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to Magnit at directsourceproteam@prounlimited.com.