- Design, implement and evaluate leading-edge machine learning methods related to cancer immunotherapy.
- Explore large-scale immunological datasets, including genomic, transcriptomic, mass spectrometry, and structural data, to derive and integrate orthogonal contributors of effective immunotherapy design.
- Stay abreast of scientific findings and technological developments and continuously improve computational methodology.
- Maintain detailed documentation of data analysis methods and results.
- Present findings and participate in cross-function team meetings. Heres What Youll Bring to the Table:
- PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field + 2 years of relevant experience, or MS degree + 5 years of relevant experience
- Strong track record in machine learning algorithm development, preferably with applications in immunology, genomics, or personalized medicine
- Proficiency in handling and interpreting large-scale biological datasets, including genomic and proteomic data.
- Strong programming skills in Python/R and with ML frameworks (e.g. PyTorch).
- Experience with high performance cloud computing such as the AWS cloud computing platform.
- Innovative thinker with excellent analytical, problem-solving, and communication skills
- Ability to work independently as well as part of a collaborative research team
- Strong organizational skills with the ability to manage multiple tasks and meet deadlines 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 About Moderna Since our founding in 2010, we have aspired to build the leading mRNA technology platform, theinfrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world. By living our mission, values, and mindsets every day, our peopleare the driving force behind our scientific progress and our culture.Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities.
We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S. As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute and make a meaningful impact.
If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit to learn more about our current opportunities.Moderna is a smoke-free, alcohol-free and drug-free work environment.
Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply
Moderna is proud to be an equal opportunity workplace and is an affirmative action employer.
Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Moderna is an E-Verify Employer in the United States. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Belonging, Inclusion, and Diversity are critical to the success of our company and our impact on society. Were focused on attracting, retaining, developing, and advancing our employees and believe that by cultivating diverse experiences, backgrounds, and ideas, we can provide an environment where every employee is able to contribute their best.
Moderna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations team at (EEO/AAP Employer)#LI-KF1
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Sr. Scientist, Immunoinformatics, Oncology Bioinformatics - Cambridge, United States - Moderna, Inc.
Description
The Role:
Moderna is seeking a highly motivated and experienced computational scientist with immunoinformatics background to join our collaborative, multi-disciplinary, and fast-paced team dedicated to the development of cancer immunotherapies. The primary focus of this role is to develop leading-edge computational methods that translates complex immunology into cancer therapy. The ideal candidate will have a strong background in machine learning, bioinformatics and solid understanding of immunology, with a proven track record of developing advanced algorithms that can transform complex biological data into actionable insights. You will be at the forefront of immune-oncology, working alongside a team of computational biologists, immunologists, and translational biologists to drive the next generation of cancer treatments.
Heres What You Will Do:
