Title: Senior Computational Research Scientist Location: Myrtle Point United States Job Description: Location Remote-United States Category Computational Research Department Chemical Biology and Therapeutics Shift Weekday Day Position Type Full Time Scheduled Weekly Hours 40 Req # JR6565 Job Description The Senior Computational Research Scientist leads, performs, and develops computational research projects under minimal supervision. The Department of Chemical Biology and Therapeutics (CBT) is seeking a highly motivated computational chemist interested in using state-of-the-art techniques in computer-aided drug design, virtual screens, and structure-guided drug design to discover novel small molecule modulators of targets relevant to pediatric disease. The applicant is expected to work alongside domain experts in the biology of pediatric disease, chemists, and pharmacologists, as well as the various institutional shared resources devoted to translational science, in a collaborative project team environment. The applicant must have a strong background in computational chemistry, including molecular dynamics simulations, molecular docking, pharmacophore modeling, quantitative structure activity relationship modeling, and chemical informatics. The applicant must also be comfortable using high performance computing resources; and developing, maintaining, and mining chemical and biological databases. Proficiency in scientific computing languages, such as R and python, and open-source programing tools such as Knime, RDKit, and ChemProp is a plus. Job Responsibilities: - Lead computationally focused scientific research projects with minimal supervision from their PI. Develop new computational methods. - Identify, process, organize, interpret, review, and report relevant data. - Direct data collection. - Present research to colleagues within and outside the institution; draft a complex manuscript with minimal supervision, as required. - Regularly train and oversee the work of others in computational research and procedures. - Perform other duties as assigned to meet the goals and objectives of the department and institution. - Maintains regular and predictable attendance. Minimum Education and/or Training: - Bachelor's degree in Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field. - Master's degree or PhD preferred. Minimum Experience: - Minimum Requirement: Bachelor's degree and 7+ years of relevant experience. - Experience Exception: Master's degree and 5+ years of relevant experience (OR) PhD with 2+ years of relevant experience. - Rough criteria for this position based on publication output: 1-2 first author papers IF > 10 (or equivalent contribution to other research outputs). - Prior experience in computational research techniques and processes. - Proven performance in earlier role/comparable role. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $104,000 - $186,160 per year for the role of Senior Computational Research Scientist. Explore our exceptional benefits! St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

Title: Research Scientist Location: Remote Job Description: Overview Current projections of sea level rise aren’t precise enough and potential solutions to mitigate the contributions of land based glaciers to sea level rise are underexplored. We aim to fund and accelerate existing research by increasing investments in Antarctic science as well as by internally developing accurate forecasts of sea level rise and the expected behavior of Antarctic glaciers. To achieve this we leverage state of the art computational methods combining physics and AI on remote sensing and field data.This role specifically is for the internal development of data driven physics and machine learning methods. Climate change is destabilizing marine ice sheets, creating a risk of catastrophic sea-level rise over the next century. Arête Glacier Initiative is a new nonprofit initiative dedicated to understanding this risk and assessing the efficacy, safety, and feasibility of potential interventions to stabilize ice sheets. We aim to fund, coordinate, and accelerate research to enable informed and legitimate societal decisions regarding these interventions. Minimum Qualifications - PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related field - 3+ years of postdoctoral or equivalent research experience applying machine learning or deep learning to weather forecasting or Earth system modeling (e.g., forecasting, downscaling, emulation) - Proficiency in Python and relevant ML frameworks (PyTorch or JAX) with experience in high-performance or cloud computing environments and large-scale parallel processing - Experience handling noisy data, uncertainty propagation, and error estimation in a geoscientific context - Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical imagery - Demonstrated ability to work effectively in cross-functional, multi-disciplinary teams Preferred Qualifications - Experience in running ice dynamics models such as ISSM, PISM or MALI - Experience with physics-informed neural networks, neural operators, Graph Neural Networks, or AI-accelerated FEM modeling - Familiarity with uncertainty quantification methods (e.g., ensembles, Bayesian inference) and sensitivity analysis techniques (e.g., adjoint methods) in a geoscientific context - Experience with large gridded dataset tooling (Zarr, xarray, Dask) Knowledge, Skills, and Abilities - Develop, optimize, and maintain scalable processing workflows and pipelines for Finite Element Modeling - Design and implement physics-informed machine learning models to improve predictive accuracy - Quickly learn and apply new tools, datasets, and methods to address evolving project needs - Apply advanced statistical methods to quantify uncertainty and validate model outputs - Communicate complex technical concepts clearly in both written and spoken English, with the ability to communicate effectively with diverse audiences - Demonstrated ability to work independently and collaboratively in a remote, fast-paced environment Additional Notes This position is fully remote with occasional in-person meetings as needed to fulfill the responsibilities of the position. Role and Responsibilities - Collaborate with data scientists, engineers and scientists to develop methods to forecast glacier ice flow and its impact on sea level rise. - Integrate domain knowledge into model design and interpret model outputs for physically realistic conditions - Develop, adapt, and evaluate probabilistic ML and hybrid physics-ML models for cryospheric processes including ice sheet flow, surface mass balance, and ocean-ice interactions - Develop and run large scale numerical simulations of ice dynamics. - Process and curate large-scale observational and synthetic datasets (e.g., satellite data, radar sounding and ice sheet model outputs) for use in model training and validation. - Identify sensitivities of model outputs to model imperfections of low quality source data or data gaps - Participate in regular team research reviews, contributing to and receiving feedback on methods and results Other Duties Please note that this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Arête Glacier Initiative is a newly launched nonprofit initiative, and as such, we are in the early stages of building our programs and team. This role requires a high degree of flexibility, adaptability, and a willingness to take on diverse tasks as we develop and grow. We encourage anyone who is interested in this role to apply, regardless of whether you feel you meet 100% of the qualifications. The top candidates will bring their own unique perspectives, experiences, and backgrounds from a variety of industries along with many but not necessarily all of the skills listed above. Compensation Compensation for this full-time position is $120,000 - $150,000 annually, commensurate with experience. Arête Glacier Initiative provides a best-in-class comprehensive set of benefits to support the team. All regular, full-time employees are eligible to receive: Health Benefits & Insurance - Carefirst Blue Cross Blue Shield - Health, Dental, and Vision Insurance (100% of the premium paid for employees and 85% of dependents) - Pre-Tax Health Savings Account (HSA) (with $275 monthly employer contributions) - Pre-Tax Flexible Savings Account (FSA) - Paid Accidental Death & Dismemberment (AD&D) Insurance - Paid Short-Term & Long-Term Disability Insurance - Paid Basic Life Insurance - Supplemental Voluntary Life Insurance (Employee, Spouse & Dependent Children) - Total Pet Plan and Supplemental Wishbone Pet Insurance - Employee Opportunity Program (EAP) - Health and Wellness - Wellness Reimbursement Program Retirement - 401k Retirement Plan (with 6% matching) Paid Time Off - 15 Days Paid Time Off Per Year - 16 Paid Holidays (14 common plus 2 flexible holidays, including Dec 25 - Jan 1) - Paid Bereavement Leave - Paid Parental Leave for Moms and Dads (two weeks after first year) If our mission and vision align with your personal values, please apply! A cover letter outlining your qualifications for the position along with your resume is required. Interviews will be conducted virtually. Arête Glacier Initiative is fiscally sponsored by Digital Harbor Foundation.Digital Harbor Foundation is dedicated to fostering learning, creativity, productivity, and community through education with a vision of digital equity for everyone. Driven by our sincere belief that access to opportunity is a basic right, we take bold yet practical actions to support making a better future now. Through a portfolio of projects focused on developing leadership within communities, we support those closest to challenges to take deliberate actions based in design thinking approach, backed by data analysis, grounded in a practice of collective impact, and driven by a commitment to racial equity. Digital Harbor and Arête Glacier Initiative are an equal opportunity employer.

Support drug substance process development, execute scale-up studies, and oversee tech transfer while ensuring GMP compliance and documentation integrity. Collaborate cross-functionally to drive continuous improvement and robust program execution.

Title: Principal Scientist, Computational Sciences - Protein Structure Prediction and Design Location: San Diego United States Job Description: 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. About the role We are seeking an experienced, creative, and highly collaborative scientist to join our Biotherapeutics Computational Design team. In this role, you will build and deploy cutting edge machine learning and structure-based methods to accelerate biologics discovery across our preclinical portfolio (antibodies, multispecifics, ADCs, and novel scaffolds) and play a pivotal role in scaling an agentic antibody design platform from prototype to a core engine of research innovation. This position offers a unique opportunity to work at the intersection of machine learning, structural biology, and drug discovery. You will leverage large-scale proprietary and public datasets and collaborate with cross-functional teams of scientists to address complex challenges in biologics discovery and engineering. Your contributions will directly support and accelerate the development of next-generation therapies. At Bristol Myers Squibb, we are driven by a shared mission: to deliver innovative, life-changing medicines for patients facing complex diseases with unmet medical needs. If you are motivated by meaningful scientific challenges and the opportunity to make a real impact, we encourage you to join us. Key responsibilities - Develop and scale antibody design capabilities from prototype to application: Advance agentic antibody design approaches into robust, reusable workflows that support preclinical discovery efforts. - Build and apply state-of-the-art models for biologics design: Develop methods for protein structure modeling, binder design, affinity/specificity prediction, and developability property prediction using internal and external datasets. - Deliver reliable, production-ready research tools: Own end-to-end development of computational pipelines, with strong emphasis on reproducibility, benchmarking, and maintainable, well-documented code. - Lead through influence: Partner with computational and wet-lab teams to prioritize capabilities, translate insights into actionable decisions, and communicate clearly to technical and non-technical audiences. Required qualifications - Ph.D. in structural bioinformatics, computational biology, computer science, engineering, physics, or a related discipline, along with 6 or more years of relevant industry or academic experience - Expertise in modern machine learning approaches (e.g. transformers and diffusion/flow-based generative models) and strong fundamentals in classical machine learning methods - Experience developing and evaluating predictive models, including familiarity with model assessment, benchmarking, and experimental design• Hands-on experience with protein modeling approaches, including state-of-the-art methods for protein structure prediction and generative protein design - Experience developing or applying agentic AI frameworks to build applications that automate and accelerate research workflows - Strong Python skills and commitment to reproducible research and high-quality scientific software - Ability to identify high-impact problems, work independently to drive solutions through implementation and evaluation - Collaborate effectively across disciplines and communicate technical finding clearly through visualization, concise narratives, and actionable recommendation Preferred qualifications - Experience with physics-based modeling (e.g. molecular dynamics, free energy perturbation) or closed-loop optimization methods (e.g. Bayesian optimization, active learning) - Background knowledge in biochemistry, protein engineering, or related experimental disciplines #LI-Hybrid 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: San Diego - CA - US: $156,890 - $190,117 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 in effect at the time and may require enrollment. Our benefits include: - Health Coverage: Medical, pharmacy, dental, and vision care. - Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP). - Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support. Work-life benefits include: Paid Time Off - US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) - Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day. All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown. - Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program. 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 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. Supporting People with Disabilities 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. Candidate Rights 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/ Data Protection We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley. R1602146 : Principal Scientist, Computational Sciences - Protein Structure Prediction and Design