Job Description
Data Scientist, Computational Biology
Repertoire Immune Medicines is a biotechnology company working to unlock and direct the remarkable power of the human immune system to treat cancer and autoimmune disease. The company was founded on the belief that understanding the repertoire of T cell receptor (TCR)-antigen immune synapses that maintain health and drive disease represents one of the greatest opportunities for innovation in medical science. Repertoire scientists created and developed the DECODE™ platform, which allows in-depth characterization of TCR-antigen pairs, and the ability to deploy this information in the form of novel targeted immune medicines to fundamentally reprogram the immune system to kill tumors or induce immune homeostasis.
From its sites in Cambridge, Massachusetts, and Zurich, Switzerland, Repertoire’s team is advancing a pipeline of DECODE-enabled immune medicines. For cancer, we are developing a pipeline of TCR bispecific molecules for treatment of multiple cancer types. Additionally, we are developing mRNA tolerizing vaccines for autoimmune diseases.
Repertoire was founded by Flagship Pioneering and is supported by a strong investor base. The company recently entered a strategic partnership with Bristol Myers Squibb to develop tolerizing vaccines for up to three autoimmune diseases.
Role Overview
Repertoire Immune Medicines is seeking a Data Scientist to join the Computational Science team to enable the discovery of new insights from our extensive and growing immune synapse database. The successful candidate will work at the interface of computational biology, data science, machine learning, and statistics with broad impact across early discovery, candidate development, and biomarker discovery.
Key Responsibilities
1. Develop, evaluate, and implement rigorous analytical models and methods for scientific discovery and development.
2. Assist in the conception, development, optimization, and assessment of machine-learning models for understanding the T-cell receptor-peptide-MHC interface.
3. Collaborate with computer science engineers, wet-lab scientists, and project managers, contributing to early discovery, lead identification, lead optimization, and biomarker development.
4. Stay current with scientific literature to aid in the development and benchmarking of new methods.
5. Communicate findings internally and externally through presentations and publications.
Qualifications/Experience
* PhD in computational biology, machine learning, engineering, statistics, biostatistics, biomedical engineering, cancer biology, immunology, genetics, or a related field, or Master’s with 3+ years of experience and a strong academic record.
* Proven impact in multidisciplinary, team-driven scientific projects.
* Expertise in programming in Python (including numpy, scipy, pandas, PyTorch, TensorFlow). R experience is a plus but not required.
* Experience analyzing complex, high-dimensional datasets to make novel scientific discoveries.
* Strong publication record.
* Scientific curiosity and enthusiasm for working in a dynamic, rapidly evolving field.
* Background in immunology/immuno-oncology and experience with single-cell sequencing data are advantages.
Repertoire is committed to social responsibility and fostering an inclusive culture. We believe that diversity fuels creativity and ingenuity, and we are dedicated to creating a supportive work environment. We are also committed to educating ourselves on societal inequities and barriers, striving to be a company that makes a difference.
Repertoire is proud to be an Equal Opportunity Employer.
Recruitment & Staffing Agencies
Repertoire does not accept unsolicited resumes from external agencies unless contacted directly by our Human Resources team. Resumes submitted without a signed agreement become the property of Repertoire, and no fees are owed.
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