Unleash Your Computational Genius! Join Moderna as a Principal Scientist in Translational Bioinformatics!

The Role:
As part of our vision, Moderna is committed to invest in R&D to further expand our impact on patients. You will be part of a growing team in Clinical and Translational Computational Oncology in R&D. The group will be focused on mining the multi-omics data obtained from clinical samples, understanding how the data can explain, predicting clinical efficacy to Moderna therapies, and extrapolating from these observations to enable future Moderna therapies.  It is our intention to expand the discovery process from pre-clinical studies into the realm of clinical investigation.

Reporting to the Executive Director of Clinical and Translational Computational Oncology, the Principal Scientist will be a key member of a high performing team responsible for understanding the clinical mechanisms of Moderna cancer therapies, from cancer vaccines to other types of immune engagers for the treatment of cancer.  You will be an innovative and collaborative computational scientist with knowledge of clinical trials, translational analytics, skill in the area of mining genomics and understanding of oncogenic and immune-oncological mechanisms with high learning agility. In collaboration with Translational Medicine scientists, you will develop and apply computational methods to analyze large datasets coming from the clinical studies in Moderna’s oncology portfolio and publicly and commercially sources datasets.  The candidate must thrive in a fast-paced environment with high expectations. Integrity, ability to share experimental issues and troubleshoot, curiosity, collaborative spirit, respect for people, exemplary work ethic and setting the bar high are key values to thrive in our Team.

Here’s What You Will Do:

• Use computational approaches to analyze complex multimodal internal clinical and publicly available or commercial patient datasets in order to extract clinically actionable insights
• Analyze complex multi-omics data across various data modalities and connect insights and observations to clinical endpoints
• Focus on mechanistic questions related to a program in relationship to the broader Moderna oncology portfolio and the landscape of existent oncology therapies.
• Work with internal groups at Moderna as well as external partners to solve problems using cutting-edge data visualization and analysis
• Independently communicate findings to multiple parties and contribute to research publications
• Collaborate closely with Translational Medicine and Oncology scientists to ensure that data is effectively utilized for high level impact

Here’s What You’ll Bring to the Table:

Minimum Qualifications

• PhD plus 5 or more years of experience in a quantitative field (i.e., bioinformatics, computational/systems biology) within industry drug discovery and development setting
• Strong programming ability in a language such as Python or R
• Experience analyzing genomics data from clinical trials in an industry setting
• Experience with the analysis of NGS data
• Experience with applying machine learning methods (ML/AI) to biological data

Preferred Skills

• Strong grounding in the state-of-the art with respect to single cell biology and computational analysis
• Ability to quickly conceive and implement custom computational methods and algorithms and apply them to large data sets
• Experience using computational methods to extract insight from large datasets
• Experience working on problems involving complex biological systems at high-resolution
• Creative problem solver who seeks finding useful biologically relevant information in data
• Experience working in an applied biological field such as immunology, cancer, or immune-oncology
• Experience with mRNA therapies and LNP delivery technologies
• Experience with applying machine learning methods (ML/AI) to analyzing clinical images (i.e., H&E stains)
• Strong scientific background, including an understanding of molecular biology and NGS techniques
• Experience working with multiple sequence alignments and large sequence datasets
• Familiarity with common bioinformatics tools for NGS data analysis
• Ability to work both independently and collaboratively
• Proficiency with high performance computing, preferably on public clouds (i.e. AWS, GCP, Azure)
• Outstanding written and verbal communication skills, ability to work with colleagues from diverse scientific backgrounds and cultures

Moderna is pleased to provide you and your family with a comprehensive and innovative suite of benefits, including:

• Highly competitive and inclusive medical, dental and vision coverage options
• Flexible Spending Accounts for medical expenses and dependent care expenses
• Lifestyle Spending Account funds to help you engage in personal enrichment and self-care activities
• Family care benefits, including subsidized back-up care options and on-demand tutoring
• Free premium access to fitness, nutrition, and mindfulness classes
• Exclusive preferred pricing on Peloton fitness equipment
• Adoption and family-planning benefits
• Dedicated care coordination support for our LGBTQ+ community
• Generous paid time off, including:
  •    Vacation, sick time and holidays
  •    Volunteer time to participate within your community
  •    Discretionary year-end shutdown
  •    Paid sabbatical after 5 years; every 3 years thereafter
• Generous Paid Leave offerings, including 18 weeks of 100% paid parental leave for all new parents
• 401k match and Financial Planning tools
• Moderna-paid Life, LTD and STD insurance coverages, as well as voluntary benefit options
• Complimentary concierge service including home services research, travel booking, and entertainment requests
• Free parking or subsidized commuter passes
• Location-specific perks and extras!