Job Description
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 DECODETM 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 bispecifics molecules for treatment of multiple cancer types. In addition, we are developing a pipeline of mRNA tolerizing vaccines for treatment of autoimmune diseases.
Repertoire was founded by Flagship Pioneering and is supported by a strong investor base. In addition, 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 - Develop, evaluate, and implement rigorous analytical models and methods as needed for scientific discovery and development.
- Assist in the conception, development, optimization, and assessment of machine-learning models for understanding the T-cell receptor-peptide-MHC interface.
- Work alongside computer science engineers, wet-lab scientists, and project managers, contributing to early discovery, lead identification, lead optimization, and biomarker development.
- Maintain familiarity with scientific literature to assist in the development and benchmarking of new methods.
- Communicate findings both internally and externally via presentations and publication.
Qualifications/Experience - PhD in computational biology, machine learning, engineering, statistics, biostatistics, biomedical engineering, cancer biology, immunology, genetics or related field, or Master’s with 3+ years experience, and a strong academic record.
- Demonstrated impact in multi-disciplinary, team-driven scientific projects.
- Expertise in programming in Python (including e.g. numpy, scipy, pandas, PyTorch, TensorFlow). Additional experience in R is helpful but not required.
- Expertise in analyzing complex, high-dimensional datasets using scientific and computational best practices to make novel scientific discoveries.
- Strong publication record.
- Scientific curiosity and interest in working in a dynamic, rapidly developing field.
- Background in immunology/immuno-oncology and experience working with single-cell sequencing data is a plus.
Repertoire is committed towards social responsibility and developing an inclusive culture. Much as the power of the immune system lies in the diversity of T and B cells, we believe that our work requires the creativity and ingenuity of a diverse workforce, and we are committed to pursuing that in all facets of the work experience at Repertoire. We will continue to educate ourselves about the inequities and barriers present in our society and act as a company where we can make a difference. Repertoire is proud to be an Equal Opportunity Employer. Recruitment & Staffing Agencies: Repertoire Immune Medicines (“Repertoire”) does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Repertoire or its employees is strictly prohibited unless contacted directly by Repertoire’s internal Human Resources team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Repertoire, and Repertoire will not owe any referral or other fees with respect thereto.
Job Tags
Work experience placement,