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. Position Summary 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. Key Responsibilities Research and benchmark supervised/unsupervised data integration methods as applied to gene expression and other modalities from public resources 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) Develop effective means of visualization (e.g. in the form of dashboards) to summarize and communicate dataset characteristics and predictive model outputs Qualifications & Experience Experience in programming with Python or R as well as common statistical frameworks in the corresponding language (e.g. scikit-learn tidymodels) Working knowledge of statistical modelling or machine learning is strongly preferred Familiarity with different omics modalities is a plus Experience with data visualization in both static (e.g. ggplot2 matplotlib/seaborn) and interactive (e.g. Plotly Bokeh D3) formats Currently enrolled in a MS/PhD program in computer science bioinformatics statistics physics or a similar field Must be able to work full-time for the program duration Excellent verbal and communication skills 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. To protect the safety of our workforce customers patients and communities the policy of the Company requires all employees and workers in the U.S. and Puerto Rico to be fully vaccinated against COVID-19 unless they have received an exception based on an approved request for a medical or religious reasonable accommodation. Therefore all BMS applicants seeking a role located in the U.S. and Puerto Rico must confirm that they have already received or are willing to receive the full COVID-19 vaccination by their start date as a qualification of the role and condition of employment. This requirement is subject to state and local law restrictions and may not be applicable to employees working in certain jurisdictions such as Montana. This requirement is also subject to discussions with collective bargaining representatives in the U.S. Our company is committed to ensuring that people with disabilities can excel through a transparent recruitment process reasonable workplace adjustments and ongoing support in their roles. Applicants can request an approval of accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application or if you are applying to a role based in the U.S. or Puerto Rico and you believe that you are unable to receive a COVID-19 vaccine due to a medical condition or sincerely held religious belief during or any part of the recruitment process please direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. BMS will consider for employment qualified applicants with arrest and conviction records pursuant to applicable laws in your area. 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