Director of Research Solutions
0020 E.R. Squibb & Sons,L.L.C.
Cambridge, Massachusetts, United States
Job type: fulltime
Job industry: Executive Positions
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.Director of Research SolutionsWe are currently seeking a highly collaborative Data Engineer with a background in the design and implementation of automated data pipelines and software development. You will be an integral member of the Knowledge Science Research team within Informatics & Predictive Sciences, a world-class team of researchers and drug hunters focused on applying AI to achieve unprecedented productivity gains in Research and Early Development (R).We are currently seeking a highly collaborative Data Engineer with a background in the design and implementation of automated scientific data pipelines and software development. As an integral member of the Knowledge Science Research team within Informatics & Predictive Sciences, an extraordinary team of researchers and drug hunters passionate about applying AI to achieve efficiency and make data accessible and meaningful Research and Early Development (R) community.As Director of Research Solutions at Bristol Myers Squibb, you will be leading a diverse and agile team using modern tools and cloud-based technologies. You will collaborate closely across the Informatics and Predictive Sciences organization - with data scientists, software developers and research engineers to develop scientific data pipelines capable of extracting, transforming and loading datasets for use throughout drug discovery process. Your experience working with database systems, designing data models and optimizing data flow will allow you to have real impact and influence on the overall design of the data architecture. This hands-on role interfaces closely with our computational researchers and enables programs spanning both discovery and translational sciences where processing and interpreting multi-platform and multi-dimensional data in pre-clinical and clinical settings. We are seeking a collaborative team member with experience building data solutions to make data accessible and impactful for the R community.Key responsibilitiesLead the data engineering team in the design and implementation of modern data pipelines, ETL and data models for the drug discovery domain.Plan and build internal data repositories that integrate vast amounts of genomic, phenotypic and screening data from public, internal and partner sources.Work collaboratively through the full software project lifecycle, from user stories through to planning and execution.Be a mentor to more junior members of the team.Work with the team to identify new technologies, evaluate benefits to our platform and workflows and devise plans for their implementation.QualificationsTeammate with an inclusive approach that is willing to listen, learn and strategize with others.A Bachelor's, Master's, or PhD in relevant subject area (e.g. Data Science, Computer Science, Chem-informatics, Epidemiology or a related field.Excellent scientific programming skills (e.g. R, Python).Experience with database systems, both relational and non-relational, SQL syntax, schema design and query optimization.Success in developing and implementing data pipelines, ideally using cloud based technologies.Passionate about the idea of discovering novel therapeutics through the application of AI-assisted technology.Scientific data and knowledge collections and their query interfacesBeneficial skills and experienceExperience with cloud infrastructure platforms such as Amazon Web Services and workflow orchestration systems.Understanding of Rest APIs and containerization and container orchestration such as Docker and Kubernetes.Experience with continuous integration and deployment, such as Jenkins and Travis.Experience with major machine learning frameworks such as scikit-learn, Pytorch, and Keras.Open source contributions in scientific software development.Proficiency with current software engineering methodologies, such as Agile, source control, project management and issue trackingWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.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.