Senior Principal Scientist

Key Skills

Aartificial intelligence, Data science techniques, Leadership Skill, Machine learning techniques, Python Programming, R Programming

Job Description

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.

When you join BMS, you are joining a diverse, high-achieving team united by a common mission. 

The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning—across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company.  We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers.

Here, you’ll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You’ll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma.

We are Knowledge Science Research, part of the Informatics and Predictive Sciences Organization in R&ED. We are looking for a new team member! A results-oriented individual to contribute to our research data utilization initiatives to empower scientists at our Research and Early Development (R&ED) Thematic Research Centers. This hands-on role will partner closely with our computational researchers across discovery and translational sciences to transform internal and external data so that it is suitable for drug discovery ML/AI efforts. We are seeking a highly collaborative individual with experience processing, integrating, and mining a wide range of research data types.

RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED TO, THE FOLLOWING:

• Working interactively with research scientists, computational scientists, and engineers to identify and deliver on prioritized data needs for Research objectives and program decisions.
• Ensuring our data workflows drive value for scientists, collaborators and patients.
• Identifying, understanding, and curating project data so that it is FAIR (Findable, Accessible, Interoperable and Reusable)
• Collaborating with scientists to build data products and visualizations to answer scientific questions
• Working with computational scientists to resolve any data issues found during analysis

 Basic Qualifications:

• Bachelor's Degree and 10+ years of academic / industry experience (e.g. Data Science, Computer Science, Cheminformatics, Bioinformatics, Epidemiology, Biology, Chemistry, Genomics)
• or Master's Degree and 8+ years of academic / industry experience (e.g. Data Science, Computer Science, Cheminformatics, Bioinformatics, Epidemiology, Biology, Chemistry, Genomics)
• or PhD and 6+ years of academic / industry experience (e.g. Data Science, Computer Science, Cheminformatics, Bioinformatics, Epidemiology, Biology, Chemistry, Genomics)
• 2+ years of leadership experience

Preferred Qualifications:

• PhD with at least 6 year’s experience or Masters with 8 year’s experience (e.g. Data Science, Computer Science, Cheminformatics, Bioinformatics, Epidemiology, Biology, Chemistry, Genomics)
• Strong understanding of chemistry, molecular biology concepts, multi-dimensional ‘omics’ data and modern approaches to data integration and data processing workflows
• Excellent programming skills in scientific languages such as R or Python.
• Experience with FAIR (Findable, Accessible, Interoperable and Reusable) data concepts and knowledge graphs.
• Experience building data products and APIs using frameworks such as Shiny, DASH and Streamlit
• Along with programming proficiency, you must show a strong capacity for independent thinking and care about the underlying scientific questions!

The starting compensation for this job is a range from $159,000 to $185,000, plus incentive cash and stock opportunities (based on eligibility).