scientist, predictive biology and ai

Bristol Myers Squibb

<div>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. 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 . 
 
Scientist, Predictive Biology and AI 
 
LOCATION
 
 
Seattle, Brisbane CA, San Diego CA, Cambridge MA, Princeton NJ
 
 
Overview
 
 
The Predictive Biology and AI (PBAI) team within BMS Research develops and applies cutting-edge methods to address patient needs and answer fundamental questions in Oncology, Neuroscience, and other application areas. We work closely with our wetlab partners to both test and deliver our predictions into the pipeline as well as integrate the data they generate into our models. We seek a collaborative AI expert possessing skills spanning machine learning and statistics as well as a passion for addressing unmet patient needs. The successful candidate will thoughtfully evaluate and adapt state-of-the-art AI models and techniques to challenges in cell engineering and target discovery. The role offers the opportunity to impact directly the delivery of truly transformational and life-changing therapies in key diseases of unmet medical need. 
 
Responsibilities
<ul><li>Apply, adapt, and in some cases create multi-modal foundation models such as large language models (LLMs), diffusion models, and encoder architectures to answer biological domain-specific questions</li><li>
Address real-world biological modeling challenges such as data sparsity, class imbalance, noise, experimental bias, and heterogeneity of effects</li><li>
Thoughtful model evaluation that incorporates appropriate benchmarks, statistical tests, and problem understanding to support technical and business decisions</li><li>
Work in close collaboration with partners across the organization including wet-lab scientists, Research IT, and other computational scientists to broaden the impact of AI developments</li><li>
Maintain and share up-to-date knowledge of modern advances in the field, including presenting work at public conferences</li></ul>
Basic Qualifications
<ul><li>Bachelor's Degree 5+ years of academic / industry experience</li><li>
Or Master's Degree 3+ years of academic / industry experience</li><li>
Or PhD No experience required</li></ul>
Preferred Qualifications
<ul><li>A Ph.D. with 0+ years industry research experience or an M.S. with 3+ years industry research experience in computer science, statistics, computational biology, or another quantitative field</li><li>
Expert-level understanding of and experience using deep learning tools and approaches (transformer-based encoders/decoders, LLMs, reinforcement learning, etc.) as demonstrated through publications or projects</li><li>
Hands-on experience leading the building and scaling of deep learning training pipelines on multi-GPU computational infrastructure using PyTorch, Huggingface, and/or other tools</li><li>
Knowledge of or the ability to learn biological concepts and data types, including the ability to work and communicate effectively with biologists</li><li>
Excellent verbal and written communication skills. Fluent verbal and written English language skills prerequisite</li><li>
Experience building agentic workflows is a plus</li><li>
Prior experience in pharmaceutical application areas is a plus</li></ul>
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.
 
 
Compensation Overview: 
 
Brisbane - CA - US: $141,150 - $171,042 
Cambridge Crossing: $141,150 - $171,042
 
Princeton - NJ - US: $122,740 - $148,732
 
San Diego - CA - US: $135,010 - $163,605 
Seattle - WA: $135,010 - $163,605 
 
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. 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 https://careers.bms.com/life-at-bms/.
 
 
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.
 
 
Uniquely Interesting Work, Life-changing Careers 
With a single vision as inspiring as Transforming patients' lives through science&trade; , 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 a supportive culture, promoting global participation 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 
 
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
 
 
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
 
 
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/ 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. 
 
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
 
 
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.</div>

Scientist, Predictive Biology and AI

CVJ-Centre for Synthetic Biology and Biomanufacturing

POSITION OVERVIEWWe are seeking a highly motivated Scientist in Bio AI to join our cutting-edge research and innovation team at the intersection of biology, artificial intelligence, and data-driven discovery. The ideal candidate will apply AI/ML methods to accelerate insights in genomics, systems biology, synthetic biology, and biomanufacturing. This role offers the opportunity to work in a highly interdisciplinary environment, driving innovation in healthcare, sustainability, and the bioeconomy.KEY RESPONSIBILITIESThe responsibilities of the scientist would include, but are not limited to, the following1. Conduct high-impact translational research using classic computational tools, AI, and quantum tools to design novel molecules and pathways for health, food, and environmental applications.&middot; Integrate multi-omics data to model virtual pathways and cells.&middot; Build AI/ML models for genomics, proteomics, metabolomics, imaging, and multi-omics integration.&middot; Develop predictive and generative models for protein design, pathway optimization, drug discovery, and biomanufacturing.&middot; Collaborate with experimental teams to validate AI-driven predictions in the lab.&middot; Create knowledge graphs and data pipelines to structure biological insights.&middot; Drive innovation through high-impact publications and intellectual property (patents, algorithms, pipelines).2. Publish research findings in good journals and present at international conferences.3. Participate in grant writing and fundraising activities.4. Foster collaborations with global academic institutions and industry leaders.5. Contribute to the academic mission by designing courses, teaching and mentoring students in bio-AI, computational biology, and data-driven biodesign.QUALIFICATIONS AND EXPERTISE&middot; PhD or equivalent in Computational Biology, Bioinformatics, Computer Science, AI/ML, Systems Biology, or related fields.&middot; Strong expertise in machine learning, deep learning, or generative AI, with applications in biology or chemistry.&middot; Proven experience in handling large-scale biological datasets (genomic, proteomic, imaging, multi-omics).&middot; Proficiency in programming (Python, R, TensorFlow, PyTorch, or equivalent).&middot; Strong understanding of molecular biology, biochemistry, or systems biology.&middot; Track record of scientific publications and/or patents.&middot; Excellent communication skills and ability to thrive in a collaborative, interdisciplinary team.BENEFITS AND OPPORTUNITIES&middot; Opportunity to work at the frontier of AI and life sciences, shaping the future of biomanufacturing and healthcare.&middot; Access to state-of-the-art computational and experimental facilities.&middot; Competitive salary and benefits package.&middot; Career growth through publications, patents, and translational projects with industry partners.&middot; Be part of an internationally connected ecosystem, with collaborations spanning academia, startups, and industry leaders.&middot; A dynamic workplace that values innovation, interdisciplinary collaboration, and societal impact.APPLICATION PROCESS&middot; A cover letter outlining Research Plan, Teaching Statement&middot; A detailed CV, including publication record&middot; Contact details of three professional references&middot; Applications will be accepted until the position is filledSubmit application to: connect@cvjsynbio.orgNote: All applications will be thoroughly reviewed - only shortlisted candidates will be contacted for an interview.Job Type: Full-timeWork Location: In person

Scientist BioAI

Glow Beauty On Demand

Job Title Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Job Description Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Role Summary MetLife Gulf is seeking a talented Data Scientist to join its Data Analytics team, driving innovation and business transformation through advanced analytics and AI solutions. This role is central to MetLife s data-first strategy, helping shape predictive models, optimize decision-making, and elevate customer experience across insurance and financial services. Employment Overview Job Location: Dubai, UAE Industry: Insurance Function: Data Science / Analytics Gender: Any Candidate Nationality: Any Job Type: Full-time (Hybrid) What You ll Do * Lead the design and execution of advanced data science projects, including predictive modeling, AI, and machine learning initiatives * Build and deploy data pipelines, backend models, and scalable analytics solutions * Collaborate with stakeholders to align data projects with strategic objectives * Develop visually impactful dashboards and reports using Power BI * Perform data mining, feature engineering, and statistical analysis for actionable insights * Integrate advanced analytics solutions across business units for pricing, claims, and sales optimization * Mentor and coach team members to enhance analytics and AI capabilities * Drive continuous innovation through experimentation with emerging technologies * Ensure data governance, model validation, and compliance with organizational standards Ideal Profile * Master s degree preferred; Bachelor s in Data Science, Computer Science, or related field * 3+ years of experience in machine learning, deep learning, and predictive analytics * Strong programming skills in Python or R and experience building data pipelines * Expertise in NLP, hypothesis testing, and conceptual modeling * Proficiency in Power BI and knowledge of Alteryx or similar visualization tools * Familiarity with Microsoft Azure or cloud-based environments * Strong storytelling and data visualization skills for non-technical audiences * Business acumen with ability to translate insights into impactful business strategies

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