Senior Manager (Data Scientist), Clinical Performance Analytics

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

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. Read more: careers.bms.com/working-with-us

As a Senior Manager (Data Scientist) in Clinical Performance Analytics, you will develop and deliver analyses of clinical trial operations data to provide insights on the performance of BMS’s innovative clinical study portfolio. You will partner closely with clinical development and clinical operations team to ensure effective measures and analytics are in place and leveraged to enable a data driven approach to measure, model and predict operational performance.

You know how to analyze data to derive meaningful insights. You participate in sharing objective performance and analytic results at relevant cross functional reviews. You will be a trusted partner enabling data-driven decisions for clinical trial operational performance. If you enjoy the complexity and richness of clinical operations and are passionate about the intersection of metrics & data analytics, we look forward to meeting you!

Key Responsibilities

• Perform diagnostic, descriptive, predictive and prescriptive analytics to identify performance trends, root cause assessments and identify areas of continuous improvement

• Help define innovative trending and modelling techniques to analyze data, build insights and help drive innovative process improvements

• Assist in creation of new mechanisms to monitor clinical trial performance using outputs from analytics, including descriptive analytics such as those from Tableau or Spotfire, and advanced analytics including simulation, optimization, machine learning, and time-series analysis

• Apply analytical/statistical methods to complex and disparate data sources

• Develop and enhance clinical performance analysis tools, ensuring they meet key stakeholder needs

• Partner to implement analytic strategies and roadmap to optimally enable effective clinical performance management through the delivery of actionable KPIs

• Partner to drive insights, evaluating clinical performance relative to industry peers and thresholds for action

• Contribute to performance management initiatives, councils, or reviews to deliver data driven insights and share key performance indicators that will predict risk or potential outcomes

• Help enable monthly, quarterly analytic reviews and deliver high-value analyses according to needs of strategic and operational leaders

• Partner to ensure appropriate and timely development of predictive models to proactively identify analytical areas of risk and innovative predictive indicators on clinical trial operational health given needs of team leads in associated areas and data maturity

• Partner with team colleagues to proactively network and liaise with cross functional business stakeholders to identify, contextualize, and deliver high value analytics and insights, while ensuring objectivity and consistency across the enterprise

• Participate in relevant strategic initiatives and process improvement initiatives to bring an explicit measurement framework to the performance of clinical trials

• Take part at benchmarking consortia and drive the annual benchmarking processes for clinical

Qualifications & Experience:

• Bachelor's degree in scientific or technical field, preferably in a STEM field (e.g., Computer Science, other quantitative Sciences, Information/Data Science, Operations Research, Engineering, Mathematics/Statistics).

• At least 2 years’ experience in analytical functions is preferred, preferably in the pharmaceutical, medical devices, healthcare or related industry but other industry experience is also relevant

• Experience with building data science and data engineering solutions

• Demonstrated ability to use data to drive decisions and answer key business questions

• Experience with building data science and data engineering solutions to clinical related datasets is preferred

• Understanding of R&D and clinical performance indicators, or ability to quickly learn these processes

• Demonstrated ability to independently evaluate and draw insights from data

• Understanding of the application of advanced analytics, including predictive analytic modeling approaches related to structured and unstructured data is ideal

• Experience delivering in a matrix organization, including articulating value propositions, balancing a complex book of work while making trade-offs and managing demand

• Excellence in meeting facilitation and in both written and oral communication

• Demonstrated ability to build relationships (both virtual and in person) with senior stakeholders and peers, including ability to negotiate and manage stakeholder engagement

• Ability to be flexible and adapt quickly to the changing needs of the organization

• Have attention to detail, be highly organized and able to balance multiple tasks

• Have strong oral and written communication skills

• Have the ability to work individually and as part of a team

• Insatiable curiosity and appreciation of the value of performance analytics

• Advanced analytic software or methodologies is a plus (SAS, R, data mining, visualization tools/techniques, Tableau, Spotfire, SQL etc.)

• Programming experience in a modern data science language (Python or R)

• Experience with building data science and data engineering solutions strongly preferred.

• Building/using business intelligence / data visualization tools such as Spotfire, Tableau, QLIK, etc.

• Be proficient with Microsoft Office, Word, Excel (advanced proficiency) and Power Point

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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