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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.

Position Summary

We seek an enthusiastic and collaborative computational researcher with expertise in the predictive analysis and interpretation of phenotypic screens involving complex cellular models of disease to join our Neuroscience focused group within Informatics and Predictive Sciences. The position is focused on the development of novel therapies for neurodegenerative, neuro-inflammatory, and neuromuscular diseases. The successful candidate will interface with scientists across our Neuroscience division and drug modality groups and contribute predictive insights that will drive discovery efforts including elucidation of target biology, development of preclinical models and therapeutic design.

Key Responsibilities

• Conduct innovative computational research to harness predictive insights from high-dimensional biological datasets derived using high content, high-throughput cell imaging, molecular and genetic profiling of pre-clinical, clinical and real-world studies.

• Drive the development and application of computational modeling to characterize complex cellular models of disease using integrative network and pathway-based approaches to generate novel therapeutic hypotheses and combine mechanistic target biology with patient enrichment/selection strategies.

• Develop ML-based representations of functional genomic screening outputs mapped to patient profiling datasets to identify causal drivers of specific pathologic cell states.

• Contribute scientific expertise to drive decision making within cross-functional teams, including presentation of key results and research strategies at internal and external forums.

• Develop and drive internal and external collaborations with other bioinformaticians, biologists and clinicians to implement and execute computational approaches that impact our development of novel therapeutics.

Basic Qualifications

• Bachelor's Degree in computational biology, machine learning, statistical genetics or related field with a firm grasp of quantitative research methods and 8+ years of academic / industry experience

• or Master's Degree in computational biology, machine learning, statistical genetics or related field with a firm grasp of quantitative research methods and 6+ years of academic / industry experience

• or PhD in computational biology, machine learning, statistical genetics or related field with a firm grasp of quantitative research methods and 4+ years of academic / industry experience

• 2+ years of leadership experience

Preferred Qualifications

• Ph.D. degree and 4+ years post-doctoral industry/academic experience in computational biology, machine learning, statistical genetics or related field with a firm grasp of quantitative research methods.

• Substantial experience analyzing and inferring molecular mechanisms from high-dimensional molecular data such as single cell RNA-seq, spatial transcriptomics, genetics, and other data types to generate actionable insights.

• Demonstrable experience in applying statistical approaches for analysis of functional genetics data; e.g. causal inference experience.

• Demonstrable experience in the application of network-based modeling and machine learning methods to biological research.

• Experience of working with disease cohorts/clinical trial data in a drug development setting with a background in neurodegeneration/neuroscience or immunology is preferred.

• Fluency in R or Python programming to manipulate data files and execute code/programs in Unix and virtualized environments. Competent in reproducible coding techniques, including code versioning systems.

• Experience contributing to matrixed organizations and developing strong working relationships across an organization to define and solve challenging research problems.

• Strong problem-solving and collaboration skills along with rigorous and creative thinking.

• Exceptionally strong communication, results presentation, and data visualization skills.

• Fluent verbal and written English language skills.

The starting compensation for this job is a range from $121,000 to $167,200 plus incentive cash and stock opportunities (based on eligibility).

The starting pay rate takes into account characteristics of the job, such as required skills and where the job is performed.

Final, individual compensation will be decided based on demonstrated experience.

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit our BMS Career Site.

Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown days between Christmas and New Year’s holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program.

#QLR

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers

With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

Physical presence at the BMS worksite or physical presence in the field is a necessary job function of this role, which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and it enhances the Company culture.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ (https://careers.bms.com/eeo-accessibility) eeo-accessibility to access our complete Equal Employment Opportunity statement.

BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Company: Bristol Myers Squibb

Req Number: R1573292

Updated: 2023-09-21 01:05:06.750 UTC

Location: Cambridge,Massachusetts

Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.