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Senior Scientist, Machine Learning, Computational Biology in Cell Therapy

Employer
Bristol Myers Squibb
Location
San Diego County, California, US
Salary
Competitive
Closing date
Oct 30, 2021

View more

Sector
Academic / Research
Field
Informatics / GIS
Discipline
Statistics, Biology
Salary Type
Salary
Employment Type
Full time
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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.

Overview

We seek an enthusiastic, collaborative computational research scientist with strong expertise in machine learning and statistical inference to work on cross-asset questions in cellular immunotherapy to help us further optimize our cell therapy products for improved patient outcomes. The successful applicant is expected to play a key role partnering with several internal research and development, manufacturing, and project teams to help develop and deploy next generation cellular therapies.

The candidate will closely collaborate with Cell Therapy Development and Operations (CTDO) and Manufacturing Science and Technology (MSAT) colleagues in Seattle and New Jersey, and work cross-functionally with global IPS colleagues, Research and Early Development (R&ED) Immuno-Oncology and Cellular Therapy Thematic Research Center (IO/CT TRC), Clinical Development, and Global Biometrics and Data Science (GBDS). Keen interest and hands-on expertise in the inter-disciplinary application of advanced statistical learning methods to biological, CMC, and clinical datasets are imperative. We are deeply passionate about what we do here at BMS, because we know that our work helps deliver truly innovative and life-changing therapies for complex diseases of unmet medical need-if this inspires you as well, we're excited to have you join us!

Responsibilities

Working in collaboration with computational, biological, and clinical scientists across the Bristol Myers Squibb IPS, CTDO and IO/CT organizations, responsibilities include but are not limited to:

* Develop and apply state-of-the-art algorithmic and data-driven statistical learning approaches to identify patient and product phenotypes associated with positive clinical and manufacturing outcomes and generate predictive models to guide manufacturing process development and decision making
* Enhance the interpretability of our machine learning predictions using variable attribution, global model-agnostic methods, and sparse local decomposition methods
* Investigate and implement cutting edge methods to incorporate unstructured data in predictive models as well as imputation of missing at random (MAR) and missing not at random (MNAR) data
* Engage with colleagues and as part of project teams passionate about developing the next generation of innovative cell therapies, lending analytics expertise to biological and technical subject matter experts as required.
* Present strategies, approaches, results, and conclusions to a publishable standard in static and interactive formats.
* Stay informed on the latest research in machine learning methods and analyze their potential impact on our capabilities.

* Participate in authorship of scientific reports, and present methods and conclusions to publishable standards.

Background experience & complementary knowledge

* PhD degree in machine learning, statistics, computer science, computational biology or related data science fields with a strong publication record demonstrating statistical learning expertise on high-dimensional data sets.
* Demonstrated ability to derive insights from high-dimensional data with complex patterns using statistical learning approaches using readable, reproducible, and efficient code
* Expertise in application of statistical learning methods and familiarity with the underlying theory, statistical programming and data manipulation using R or Python; contemporary, open-source bioinformatics tools and exposure to genomic data, collaborative development skills using version control systems (e.g. Git), database structures, and familiarity with Unix shell.
* Proven problem-solving skills, collaborative nature and flexibility across multiple research domains.
* Ability to work independently and also as a member of a global analytical research team in a fast-paced environment.
* Fluent verbal and written English language skills.

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.

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.
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