Research Scientist, Data Analysis and Machine Learning - Seattle, WA, United States - Bristol-Myers Squibb

Description

Principal Scientist - Machine Learning and AI page is loaded Principal Scientist - Machine Learning and AI
Apply locations Seattle - WA - US Redwood City - CA San Diego Campus Point - CA Cambridge Crossing - MA - US Princeton LVL - NJ time type Full time posted on Posted 28 Days Ago job requisition id R Working with Us
But working at Bristol Myers Squibb is anything but usual.

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.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment.

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.

We are seeking a highly motivated machine learning and AI Principal Scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization.

This team of computational imaging scientists is responsible for advancing Bristol-Myers Squibb's industry-leading pipeline through the strategic application of cutting-edge tissue-based image analysis and bioinformatics approaches.

The successful candidate will be responsible for developing and implementing advanced AI algorithms to analyze digital pathology whole slide images, contributing to breakthroughs in novel biomarker discovery and precision medicine.

Design, develop, and validate advanced machine learning-powered image analysis algorithms for quantitative histopathology.
Manage, process, and analyze large pathology datasets (internal and public), ensuring data quality and integrity.

Keep up to date on the latest development in AI and machine learning, applying innovative techniques to improve algorithm accuracy and efficiency.

Implement and monitor quality control processes for AI model performance.
Document algorithm development processes and report on project progress and outcomes.
Bachelor's Degree in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline and 8+ years of academic / industry experience
or Master's Degree in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline and 6+ years of academic / industry experience
or PhD in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline and 4+ years of academic / industry experience

Advanced degree (PhD preferred) in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline; 3 or more years of related experience in a university pathology lab or a biopharma company.

Proficient in machine learning, deep learning, computer vision, and image processing techniques.
Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Strong analytical skills with the ability to interpret complex data and translate findings into actionable insights through statistical analysis and visualization.
Prior experience with applying machine learning and/or deep learning tools for medical and/or cellular imaging tasks is preferred.

Familiarity with complementary bioinformatics analysis techniques and data such as survival analysis, RNA and/or genomic sequencing measurements is a strong plus.

Experience with cloud computing platforms (e.g., Experience with machine learning lifecycle management tools (e.g., Strong problem-solving and collaboration skills, and rigorous and creative thinking

Excellent written and oral communication skills, including an ability to collaborate effectively with lab scientists and pathologists and to present coherently and concisely.

Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects.
Track record of scientific leadership exemplified by first author peer-reviewed publications ideally related to pathology image analysis.

The starting compensation for this job is a range from $121,000 - $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.

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.

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.

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.

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.

If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to .

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.

W e're creatinginnovative medicines for patients fighting serious diseases.