Associate Director, Early Translational Informatics and Predictive Sciences - Neuroscience Lead

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.

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Associate Director, Early Translational Informatics and Predictive Sciences - Neuroscience Lead

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 seek a creative and passionate computational scientist with a background in addressing neuroscience translational questions to lead the Neuroscience Early Translational team within Informatics and Predictive Sciences, a globally distributed group driving innovative computational research for discovery and early development. In this role, you will lead a team of skilled computational scientists analyzing high-dimensional readouts from longitudinal patient cohorts and early clinical trials. You will implement rigorous data analysis practices and align resources based on scientific priorities, enabling the next wave of breakthrough therapies to reach patients faster through innovative clinical trial designs.

Responsibilities

• Lead a team of PhD level scientists to develop target engagement and pharmacodynamic biomarker hypotheses, collaborate with translational scientists to develop biomarker plans, and analyze biomarker data from early clinical trials
• Develop analytic strategies to identify novel biomarker approaches for patient stratification, disease mechanism understanding, and surrogate measures and lead within a larger team of informatics and predictive scientists to execute these strategies and analysis plans
• Work collaboratively with translational teams to extract insights, generate hypotheses and guide drug development decisions in early clinical development of new therapeutics targeting neurodegenerative and neuropsychiatric disorders.

Basic Qualifications:

• Bachelor's Degree 12+ years of academic / industry experience
• Or Master's Degree 10+ years of academic / industry experience
• Or PhD 8+ years of academic / industry experience
• 4+ years of leadership experience

Preferred Qualifications:

• Ph.D. in bioinformatics, computational biology, statistics, or a similar discipline.
• Eight or more (8+) years of relevant experience in translational or clinical research.
• Four or more (4+) years of leadership experience managing PhD-level scientists
• Demonstrated expertise in neuroscience drug development and cutting-edge approaches for molecular/imaging/digital biomarkers and clinical trial design
• Proficiency using R and 1+ additional programming language with a strong background in -omic (DNA, RNA, epigenetic, proteomic) data analysis and biological interpretatio