At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.
We are seeking a highly motivated student to join our group for a 10-week long summer internship program. A successful candidate will work with their mentor to adopt, develop, and apply multi-omics integration methods to assess novel molecular determinants of drug sensitivity. In particular, the goal will be to evaluate and build upon data integration methods such as contrastive principal component analysis (Abid, Nat Commun 2018) and DeepDEP (Chiu, Sci Adv 2021) to develop transferable predictive models that take routine omics measurements such as gene expression or genetic variation for the prediction of cell-intrinsic properties (gene dependencies or metastatic potential) as well as pharmacological profiles including compound sensitivities. Training of these models will be performed mainly on in vitro models and should be generalizable to more complex systems (e.g., organoids and primary tumors) based on recent work estimating gene essentially in primary tumors using TCGA-CCLE aligned transcriptomes (Shi, bioRxiv 2022). Critical to this procedure will be the biologically informed exclusion of signals arising from known discrepancies between systems such as stromal and immune components separating in vivo and in vitro contexts. The proposed work will finally leverage in-house molecular profiles to facilitate rapid in silico discovery of novel combinatorial drivers underlying disease progression and treatment response, ultimately having the potential to broadly accelerate diverse R&D efforts. Throughout this process, the candidate will have the opportunity to learn from experienced computational biologists, exercise their skills in bioinformatics, and learn about the process of R&D in an industry setting.
Organize and compile a database of internal and external omics datasets to enable large-scale data mining efforts
Leverage integrated omics profiles to translate and generalize experimental findings across cancer models (e.g., cell lines, xenografts, tumors)
Qualifications & Experience
Working knowledge of statistical modelling or machine learning is strongly preferred
Familiarity with different omics modalities is a plus
Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.
Physical presence at the BMS worksite or physical presence in the field is an essential job function of this role which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and enhances the Company culture.
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