Translational Bioinformatics Postdoc Jobs (NOW HIRING)

The Role Moderna is seeking a highly motivated and experienced Senior Scientist, Therapeutics & Translational Bioinformatics, to join a multidisciplinary team supporting the discovery and development of mRNA-based therapeutics and vaccines. The role will advance early therapeutic development through computational analysis of human, clinical, and preclinical data while deepening our understanding of mRNA platform immunology through translational studies. This person will apply expertise in computational biology, immunology, machine learning/AI, and advanced statistical methods to identify therapeutic targets, biological mechanisms, biomarkers, response signatures, and patient‑level factors that inform program strategy. The successful candidate will have strong hands‑on experience with bulk and single‑cell transcriptomics and TCR/BCR repertoire analysis, integrated multi‑omics, and machine‑learning or deep‑learning approaches. The person will lead the computational effort for therapeutic or platform programs, partnering with multidisciplinary teams, and external collaborators to define scientific questions, guide study design, lead analyses, and translate biological data into actionable next steps. The successful candidate will be scientifically curious, quantitatively rigorous, comfortable operating in an interdisciplinary and rapidly evolving environment, and motivated by the opportunity to translate complex data into therapeutic impact.

• Lead the computational effort for therapeutic and translational programs, partnering with Research, Translational Medicine, and Clinical Development teams to define computational strategies, data requirements, and analysis plans from discovery through early clinical development.
• Lead integrated multi‑omics analyses of data from human clinical and translational studies, preclinical models, and in vitro experiments to generate system‑level biological insights.
• Perform rigorous bulk and single‑cell transcriptomic analyses, including QC, cell‑type annotation, differential expression, trajectory inference, cell–cell communication, and cross‑study integration.
• Analyze bulk and single‑cell TCR/BCR repertoire data, including clonotype diversity, expansion, convergence, lineage relationships, and associations with cellular phenotypes.
• Develop or apply machine‑learning and deep‑learning approaches to high‑dimensional biological and clinical data for biomarker discovery, patient stratification, response and safety prediction, disease‑state characterization, and therapeutic target prioritization.
• Analyze and integrate immune‑assay data, including flow cytometry, cytokine and chemokine measurements, serology, ELISpot, intracellular cytokine staining, and other immune readouts.
• Translate computational findings into testable biological hypotheses and actionable recommendations for target and treatment modality selection, indication prioritization, MoA studies, biomarker strategies, patient selection, and study design.
• Leverage AI tools to develop and maintain scalable, reproducible, and well‑documented analytical algorithms and pipelines using modern data science best practices.
• Clearly communicate findings through presentations, technical reports, publications, study summaries, and regulatory or clinical‑development documents.
• Provide technical leadership and mentorship to junior computational scientists and contribute to the development of shared analytical standards, pipelines, and best practices.

• PhD in Computational Immunology, Bioinformatics, Biomedical Engineering, or a related quantitative discipline, with at least 2 years of relevant postdoctoral or industry experience.
• Strong scientific foundation in both computational biology and immunology, with the ability to connect molecular and cellular findings to immune mechanisms, human disease biology, and therapeutic development.
• Demonstrated experience applying computational analyses to human, preclinical and in vitro datasets to support therapeutic development, early drug discovery, and translational decision‑making.
• Relevant experience in immune‑mediated diseases, oncology, infectious diseases, immunotherapy, or the development of mRNA therapeutics or vaccines.
• Strong expertise in processing, analyzing, and biologically interpreting bulk and single‑cell transcriptome and integration with multiple omics modalities.
• Strong experience analyzing single‑cell TCR or BCR repertoire data, including integration of V(D)J information with cellular phenotypes and transcriptomic states.
• Demonstrated experience developing or applying machine‑learning methods and advanced statistical models, such as mixed‑effects and Bayesian approaches, to biological, immunological, or clinical datasets.
• Experience analyzing immune‑assay data, with a strong understanding of experimental design, statistical inference, biological variability, and data quality.
• Strong programming skills in R and/or Python, with experience in Linux environments, computational biology packages and workflows, and the use of AI‑enabled tools for code and pipeline development.
• Experience with cloud‑based computing and data science platforms, such as AWS, GitHub or GitLab, Jupyter, Nextflow, Docker, or similar technologies.
• Proven ability to independently lead complex computational projects, manage competing priorities, and deliver high‑quality analyses within program timelines.
• Strong written, presentation, and interpersonal communication skills, including comfort presenting scientific findings and recommendations to program teams and leadership.
• Demonstrated ability to work effectively with experimental scientists, clinicians, translational researchers, data scientists, and other cross‑functional stakeholders.
• Record of scientific contributions demonstrated through publications, conference presentations, therapeutic program impact, analytical method development, or other relevant accomplishments.

At Moderna, we believe that when you feel your best, you can do your best work. That’s why our benefits and well‑being resources are designed to support you—at work, at home, and everywhere in between.

• Competitive healthcare, plus voluntary benefit programs to support your unique needs
• A holistic approach to well‑being, with access to fitness, mindfulness, and mental health support
• Family planning benefits, including fertility, adoption, and surrogacy support
• Generous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year‑end shutdown
• Savings and investments to help you plan for the future
• Location‑specific perks and extras

The salary range for this role is $145,900.00 - $234,200.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An individual’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, performance, and business or organizational needs.

The successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.

Since our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure 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 people are 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. If you want to make a difference and join a team that is changing the future of medicine.

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. Moderna is a smoke‑free, alcohol‑free, and drug‑free work environment.

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 a place where everyone can grow. Moderna is an E‑Verify Employer in the United States. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

We’re focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can 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 leavesandaccommodations@modernatx.com.

Moderna will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. Please inform the company’s personnel representative by calling 617-460-9346 or emailing humanresources@modernatx.com if you need assistance completing any forms or to otherwise participate in the application process. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Moderna does not accept unsolicited resumes from any source other than directly from candidates. For the protection of all parties involved in the recruiting process, resumes will only be accepted from recruiters/agencies if a signed agreement is in place at the inception of the recruiting effort and authorized for a specified position. Unsolicited resumes sent to Moderna from recruiters/agencies do not constitute any type of relationship between the recruiter/agency and Moderna and do not obligate Moderna to pay fees if we hire from those resumes.

At Moderna we are pioneering the development of a new class of drugs made of messenger RNA (mRNA). This novel drug platform builds on the discovery that modified mRNA can direct the body’s cellular machinery to produce nearly any protein of interest, from native proteins to antibodies and other entirely novel protein constructs that can have therapeutic activity inside and outside of cells. We have a clear mission to propel the field of mRNA science forward and deliver new medicines to patients and a unique vision for how to achieve this mission. Our Mission: To deliver on the promise of transformative messenger RNA (mRNA) science to bring new medicines to patients. Our Vision: To unlock the potential of mRNA by establishing an ecosystem of teams and partners that will work together to develop the broadest possible array of drugs, across diverse therapeutic areas and routes of administration, for serious diseases that are not treatable today.