Job Description

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.

Job Summary:

* Prioritizes activities across multiple projects in the assigned TA and effectively negotiates plans with colleagues and customers.

* Communicates the role of pharmacoepidemiology within GPV&E and throughout BMS.

* Applies theoretical principles to real problems and bridge uncertainty of the real world with innovative pharmacoepidemiologic solutions.

* Evaluates risk-benefit of pharmaceuticals in context of worldwide regulatory agency use of epidemiologic data.

* Advises on pharmacoepidemiology principles to others in R&D.

* Ensures that all tasks are performed in the most efficient manner possible commensurate with quality, accuracy, and timeliness; and in accordance with current global regulatory requirements, good pharmacoepidemiology guidelines, and BMS cost effectiveness goals.

* Support database build and other data management programming activities.

* Writing production code for scraping websites and PDFs to feed into NLP models.

* Develop and implement NLP-based information extraction solutions.

* Create risk prediction models for adverse events using varying methodologic techniques.

Qualifications:

* Masters degree required (Epidemiology, MPH, Computer Science, Mathematics is preferred). Advanced degree (PhD, MD, DO) is highly desired.

* At least 3-5 years of relevant experience in the pharmaceutical industry required. Management experience is preferred.

* Up-to-date knowledge of machine learning, natural language processing (NLP), and data analytics tools and techniques. Demonstrated experience with data mining including web scraping, APIs, big data workflows/tools, and/or text mining. Programming experience with SQL for querying relational databases, data cleaning, and analysis.

* Prior experience with clinical data. Knowledge about SDTM data standards is preferred. Strong knowledge of Python, and related machine learning tools (e.g. TensorFlow, PyTorch). Hands on experience with DASH/HTML is preferred.

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.

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 any part of the recruitment process direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.