Data Scientist, Computational Biology
5 days ago
Repertoire Immune Medicines is a biotechnology company dedicated to unlocking the potential of the human immune system to treat cancer and autoimmune diseases. Our team is working to develop novel targeted immune medicines using the DECODE platform, which enables in-depth characterization of TCR-antigen pairs. We are seeking a talented Data Scientist to join our Computational Analytics Team and contribute to the discovery of new insights from our extensive and growing DECODE immune synapse database.
Key Responsibilities- Apply statistical techniques to identify relationships in complex biological data.
- Develop, evaluate, and implement robust analytical methods/models/workflows/apps for in-house discovery and development.
- Use analytical methods to identify patterns, signals, and features in highly multiplexed experimental assay data.
- Assist in the conception, development, optimization, and assessment of machine-learning models.
- Maintain familiarity with scientific literature to assist in the development and benchmarking of new methods.
- Build and deploy visualizations and user interfaces to be used by wet lab scientists.
- Support various teams for the processing and interpretation of next-generation sequencing (NGS) data and ensure timely delivery of results.
- Maintain high-quality documentation of work and discoveries, creating written reports, electronic lab notebooks, technical presentations for internal or external audiences, internal database records, code comments, and software documentation.
- Communicate key data insights to various audiences within R&D, as well as continuous project status updates, setbacks, and modification of strategy.
- Manage and execute multiple projects in across matrixed teams, working with leadership to meet short timelines while maintaining scientific rigor.
- Seek out external resource and expertise when required.
- Master's degree in Data Science, Bioinformatics, Computational Biology, Machine Learning, Statistics, Mathematics, Physics, and 3+ years of professional experience. PhD preferred.
- Extensive experience working with multi-dimensional datasets.
- Extensive experience with Python analysis modules including pandas, numpy, scipy.
- Experience performing principal component analysis, multi-variate regressions, ANOVA, Bayesian statistics and/or other statistical methods in a biological field to identify relevant parameters and/or outcomes.
- Experience processing and/or building pipelines for next-generation sequencing data including gene expression, whole exome, TCR, single-cell.
- Familiarity with machine-learning model development, optimization, and assessment.
- Familiarity with the development of deep generative models (e.g., autoregressive models, VAEs, CNNs, GANs, etc.).
- Demonstrated expertise in core coding environments including Python, R, SQL, bash scripts.
- Experience working in cloud computing environments.
- Experience with AI frameworks like TensorFlow, Keras, PyTorch, or sklearn.
- Experience with python Streamlit or R Shiny apps
- Experience with data visualization packages like matplotlib, seaborn, plotly, altair, ggplot2.
Repertoire Immune Medicines is committed to social responsibility and developing an inclusive culture. We believe in actively pursuing equity 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 take action as a company where we can make a difference.
Repertoire Immune Medicines is proud to be an Equal Opportunity Employer.
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