computational biologist

Buck Institute

<div><b>Position Summary</b><br>
The Buck Institute for Research on Aging is seeking an exceptional, highly motivated <b>AI Data Scientist / Agentic AI Engineer</b> to join a collaborative research team focused on aging, computational biology, multi-omics, and translational data science.<br>
This position is ideal for a creative, technically outstanding individual with a Master&rsquo;s degree or equivalent experience who has demonstrated excellence through high-impact projects, awards, hackathons, publications, startup experience, open-source contributions, or other evidence of exceptional technical ability. We are especially interested in candidates who are deeply fluent in the use of large language models, agentic AI systems, modern software engineering practices, and scalable approaches for harmonizing and modeling large, complex datasets.<br>
The successful candidate will contribute to multiple government-funded and institutional research initiatives, including a recently launched, government-funded project focused on using large-scale human data to better understand biological aging, resilience, healthspan, and age-related disease risk. This role will help develop innovative AI-enabled systems for organizing, harmonizing, analyzing, modeling, and interpreting large datasets generated across multiple collaborators, institutions, platforms, and data types.<br>
We are looking for someone who is not only technically strong, but also inventive, entrepreneurial, and capable of rapidly building solutions. The ideal candidate will be comfortable working at the intersection of AI, software engineering, data science, and biomedical research, and will bring the creativity needed to design new approaches for managing and modeling complex scientific data.<p></p><b>
Key Responsibilities</b><br>
<b>1. Develop AI-enabled systems for large-scale data harmonization and modeling</b><br>
The candidate will help design, build, and implement computational systems that support the organization, harmonization, modeling, and interpretation of large biomedical datasets. Responsibilities may include:<ul><li>
Developing agentic AI workflows to support data curation, quality control, documentation, and analysis</li><li>
Designing LLM-powered tools to help harmonize large datasets across cohorts, studies, institutions, and assay platforms</li><li>
Building pipelines to extract, standardize, and validate metadata and data dictionaries</li><li>
Creating systems to support multi-modal data integration across omics, clinical, demographic, imaging, and functional datasets</li><li>
Developing scalable approaches for identifying patterns, inconsistencies, and missing information across large datasets</li><li>
Supporting model development for prediction, classification, clustering, and biological interpretation</li><li>
Prototyping AI tools that improve research productivity, reproducibility, and scientific discovery</li></ul><b>
2. Apply LLMs, agentic AI, and modern machine learning approaches to biomedical research</b><br>
Responsibilities may include:<ul><li>
Building workflows using large language models, retrieval-augmented generation, vector databases, tool-calling agents, and automated reasoning systems</li><li>
Designing AI agents capable of interacting with structured and unstructured scientific data</li><li>
Developing systems that assist with literature mining, data annotation, hypothesis generation, and biological interpretation</li><li>
Evaluating the performance, limitations, and reliability of AI-enabled tools in biomedical research contexts</li><li>
Supporting responsible, reproducible, and well-documented use of AI in federally funded research</li><li>
Collaborating with bioinformaticians and domain experts to translate research needs into functional computational tools</li></ul><b>
3. Support large-scale data science and computational biology projects</b><br>
The candidate may contribute to analyses involving:<ul><li>
Transcriptomics, including single-cell and bulk RNA-seq</li><li>
Proteomics</li><li>
Metabolomics</li><li>
Epigenetics and biological aging clocks</li><li>
Clinical and phenotypic datasets</li><li>
Survey data</li><li>
Integrative multi-omics</li><li>
Dimensionality reduction and clustering</li><li>
Classification methods and predictive modeling</li><li>
Drug repurposing</li><li>
Network analysis and pathway enrichment</li><li>
Computer vision and feature extraction, as applicable</li></ul><b>
4. Collaborate across interdisciplinary teams</b><br>
The candidate will work closely with computational biologists, data scientists, principal investigators, research staff, software engineers, and external collaborators. Responsibilities may include:<ul><li>
Translating scientific goals into computational tools and workflows</li><li>
Participating in project meetings and presenting technical progress</li><li>
Creating clear documentation, diagrams, and technical specifications</li><li>
Supporting manuscript preparation, grant writing, figure generation, and reporting</li><li>
Working with diverse teams to improve data transfer, management, and analysis systems</li><li>
Helping establish best practices for AI-assisted data science in biomedical research</li></ul><p></p><b>
Qualifications</b><br>
<b>Required Education and Experience</b><ul><li>
Master&rsquo;s degree in Computer Science, Data Science, Computational Biology, Bioinformatics, Applied Mathematics, Statistics, Engineering, or a related field; equivalent professional, entrepreneurial, or technical experience will also be considered</li><li>
Demonstrated experience building AI, data science, machine learning, or software engineering systems</li><li>
Strong proficiency in <b>Python</b></li><li>
Experience using large language models, AI APIs, or LLM-based developer tools</li><li>
Experience with modern software engineering practices, version control, testing, documentation, and collaborative development</li><li>
Ability to work independently, rapidly prototype solutions, and solve ambiguous technical problems</li></ul><b>
Required Skills</b><ul><li>
Strong practical experience with large language models and AI-assisted workflows</li><li>
Interest or experience in agentic AI, tool-calling agents, retrieval-augmented generation, vector search, or automated workflow orchestration</li><li>
Strong analytical and problem-solving skills</li><li>
Ability to design systems for organizing, harmonizing, and modeling large datasets</li><li>
Comfort working with structured and unstructured data</li><li>
Excellent written and oral communication skills</li><li>
Strong attention to detail and commitment to reproducibility</li><li>
Ability to collaborate with both technical and non-technical team members</li><li>
High degree of creativity, initiative, and intellectual curiosity</li></ul><b>
Preferred Qualifications</b><ul><li>
Evidence of exceptional technical achievement, such as hackathon wins, awards, competitive programming, startup experience, open-source contributions, publications, deployed products, or other high-impact projects</li><li>
Experience with biomedical, healthcare, clinical, or omics data</li><li>
Experience with APIs, cloud platforms, Docker, databases, or scalable data systems</li><li>
Experience with vector databases, embeddings, RAG systems, or AI agent frameworks</li><li>
Experience with Python-based data science libraries and machine learning frameworks</li><li>
Familiarity with data harmonization, metadata standards, ontologies, or research data repositories</li><li>
Experience working in fast-paced startup, academic, or highly collaborative environments</li></ul><p></p><b>
Compensation and Benefits</b><ul><li>
Salary range: <b>$60,000&ndash;$75,000</b>, commensurate with experience</li><li>
Full-time position</li><li>
Exciting, collaborative work environment at the forefront of aging research, AI, and computational biology</li><li>
Opportunity to help build AI-enabled systems for large-scale biomedical discovery</li><li>
Generous benefits package, including:<ul><li>
Health insurance</li><li>
Paid parental leave</li><li>
Generous paid time off</li><li>
401(k) with 5% employer match</li></ul></li><li>
Work visa sponsorship may be available for qualified candidates</li></ul><p></p><b>
About the Buck Institute</b><br>
Our success will ultimately change healthcare. At the Buck Institute for Research on Aging, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age.<br>
The Buck is an independent, nonprofit institution located in Marin County, California, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as a pioneer and leader in efforts to target aging &mdash; the number one risk factor for diseases including Alzheimer&rsquo;s disease, Parkinson&rsquo;s disease, cancer, macular degeneration, heart disease, and diabetes &mdash; the Buck seeks to help people live better longer.<br>
We are an equal opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply.<p></p><b>
To Apply</b><br>
Interested candidates should click the <b>Apply</b> button to complete the online application.<br>
Please upload:<ul><li>
Resume or CV</li><li>
A brief statement describing your technical interests, relevant AI/data science experience, and examples of systems, tools, or projects you have built</li><li>
Names and contact information for three references, if available</li></ul><p>
</p><p>rFEhJpvrzU</p></div>

AI Data Scientist-Furman lab

Cincinnati Children's Hospital

Dr. Miraldi’s Immuno-Engineering Laboratory seeks a computational research fellow to build mathematical models of the immune system in vivo. These models will be constructed from cutting-edge, high-dimensional, immune-system measurements (e.g., single-cell genomics, chromatin state, proteomics). Our mathematical modeling frameworks span mechanistic (e.g., dynamic gene regulatory networks) to deep learning (e.g., prediction of cellular epigenomes from DNA sequence). Situated at Cincinnati Children’s Hospital, we are dedicated to the design of computational methods and systems-immunology studies that will ultimately improve the health of children. Through close collaboration with our physician and experimental colleagues, we iteratively test and refine our models, so that the models yield novel insights into immune-cell function and ultimately guide new therapeutic strategies in the context of autoimmunity, infectious disease and cancer. The ideal candidate will collaborate closely with experimental immunologists, physicians and other computational biologists. The team will design and execute hybrid computational-experimental strategies that push the boundaries of both immunology and computational biology.
<br><br>
JOB RESPONSIBILITIES
<br><br>
Perform analysis and experiments - Design, execute, and record analysis and experiments; apply standard scientific protocols to research, and improve current methods and evaluate innovative techniques. Develop and implement human subject research protocols, vertebrate animal research protocols and design experimental procedures and documentation in accordance with the relevant laws and regulations. Prepare, clean and analyze data. Maintain optimal protocol and accuracy by conducting regular quality and reproducibility checks.
<br><br>
Communicate results/findings - Draft, write, and edit scientific reports, papers, journal articles, and abstracts. Present information on research and department work to others at department meetings, journal clubs, and seminars. Present results and discuss relevant insights with Faculty and provide useful recommendations and analysis.
<br><br>
Innovate and advance departmental capabilities - Independently reproduce, evaluate, research, and improve techniques currently used. Adapt new methods to existing procedures and modify current analysis/experiments through scientific knowledge and intuition. Maintain accurate and detailed records of all analysis and experiments. Develop, set-up, and verify new procedures in the department. Standardize and establish new published procedures; evaluate innovative techniques. Develop new protocols; design formats. Maintain an integral role in the department's meetings, presentations, and publications. Troubleshoot and correct erroneous results or problems with department software/equipment. Maintain and repair software/equipment; monitor proper use by personnel.
<br><br>
Financial/Budgeting - Assist in preparing grant applications. Assist in preparing, writing, and maintaining fiscal budget. Monitor expenditures and prepare capital expenditure requests. Prepare, approve, and initiate check requests; track funding, maintain accurate balance, and resolve any discrepancies.
<br><br>
Staff Leadership - May provide day-to-day functional leadership for a team or directly manage a minimal number of support staff. Establishes team goals. Gives input into, and performs employee performance reviews. Oversees and guides work assignments. Serves as the functional expert and provides guidance to the team.
<br><br>
Education and Training - May serve as course master and develop new courses at the undergraduate and graduate level, including appropriate plans for evaluating student performance; may deliver lectures as a guest lecturer in courses organized by other faculty. Assist in the training of new employees. Serve as a resource and/or mentor to coworkers. Assist in the development and presentation of department training. Identify training needs and provide necessary coaching.
<br><br>
JOB QUALIFICATIONS
<br><br>
Ph.D. in related discipline, MD, or equivalent degree
<br><br>
<b>Preferred:</b> PhD in Computer Science, Physics, Biomedical Informatics, Bioinformatics, Epidemiology, Biostatistics or other similar quantitative disciplines
<br><br>
<b>Preferred:</b> Experience in a related discipline
<br><br>
Primary Location Location S
<br><br>
Schedule Full time
<br><br>
Shift Day (United States of America)
<br><br>
Department Immunobiology
<br><br>
Employee Status Regular
<br><br>
FTE 1
<br><br>
Weekly Hours 40
<br><br>
About Us
<br><br>
<b>At Cincinnati Children’s, we come to work with one goal:</b> to make children’s health better. We believe in a holistic team approach, both in caring for patients and their families, and in advancing science and discovery. We strive to do better and find energy and inspiration in our shared purpose. If you want to be the best you can be, you can do it at Cincinnati Children’s.
<br><br>
<b>Cincinnati Children's is:</b><br>
Recognized by U.S. News & World Report as a top 10 best Children's Hospitals in the nation for more than 15 years
<br><br>
Consistently among the top 3 Children's Hospitals for National Institutes of Health (NIH) Funding
<br><br>
Recognized as one of America’s Best Large Employers (2025) , America’s Best Employers for New Grads (2025)
<br><br>
One of the nation's America’s Most Innovative Companies as noted by Fortune
<br><br>
Consistently certified as great place to work
<br><br>
A Leading Disability Employer as noted by the National Organization on Disability
<br><br>
Magnet® designated for the fourth consecutive time by the American Nurses Credentialing Center (ANCC)
<br><br>
 We Embrace Innovation—Together. We believe in empowering our teams with the tools that help us work smarter and care better. That’s why we support the responsible use of artificial intelligence. By encouraging innovation, we’re creating space for new ideas, better outcomes, and a stronger future—for all of us.
<br><br>
Comprehensive job description provided upon request.
<br><br>
Cincinnati Children’s is proud to be an Equal Opportunity Employer committed to creating an environment of dignity and respect for all our employees, patients, and families. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, genetic information, national origin, sexual orientation, gender identity, disability or protected veteran status. EEO/Veteran/Disability

Postdoctoral Research Fellow (Miraldi) Computational Systems Biology

Columbia University

<div><p>The Genomics Information Systems Laboratory of Prof. Dimitris Anastassiou ( https://engineering.columbia.edu/faculty/dimitris-anastassiou ) in the Department of Electrical Engineering has openings for one or more Staff Associate (SA) Officers of Research in Computational Biology and Bioinformatics.The lab is also affiliated with Columbia University&rsquo;s Department of Systems Biology.
</p><p>Candidates should have a degree in Computer Science or a related field, as well as experience and a publication record in Computational Systems Biology and Bioinformatics. The research in which they will assist will involve algorithm development and computational analysis of biomolecular information, using both traditional and newly developed methods, to discover and elucidate important biological mechanisms building and expanding on existing results. It will also involve collaboration with multidisciplinary teams and experimental research labs to validate computational results.
</p><p>One current research focus is on analyzing the increasingly available single-cell and spatial data from cancer biopsies investigating the cellular composition and evolution of cellular populations including cancer cells as well as fibroblasts and immune cells in the tumor microenvironment, shedding light on cancer invasiveness-associated mechanisms and identifying potential therapeutic targets.
</p><p>Specific responsibilities and duties are listed below for each title and grade (SAI, SAII, and SAIII):
</p><div><ul><li><div>Functional Knowledge - For SAI: Knowledge of the research subject and scientific methods of analysis; For SAII: Knowledge of the research subject specifically within own function on the team; For SAIII - Knowledge of the research subject and understanding of how functions interrelate and support the broader research; considered specialist within own function.
</div></li></ul><ul><li><div>Problem Solving - For SAI: Utilizes analytical skills to solve moderately complex problems based on guidelines, protocols, and procedures. For SAII: Solves problems in moderately complex situations, analyzing possible solutions based on education and experience using judgment and precedent. For SAIII: Utilizes strong analytical skills to solve complex problems; exercises developed judgment based on the analysis of multiple sources of information.
</div></li></ul><ul><li><div>Decision Making/Autonomy - For SAI: Works within guidelines to carry out assigned duties in the design of apparatus, the adaptation of relevant technology to the needs of a project, the conduct of specific experiments, and the analysis of data. For SAII: Carries out research projects with limited PI supervision both collaboratively and independently. For SAIII: Works under minimal supervision on complex assignments that require a high degree of initiative and independent judgment.
</div></li></ul><ul><li><div>Technical Expertise - For SAI: Ability to operate and maintain equipment, computers, software programs and research tools in support of the project. For SAII: Operates and maintains equipment, computers, software programs and research tools in support of the project. For SAIII: Broad understanding of research techniques, software and instruments used in project.
</div></li></ul><ul><li><p>Communication - For SAI: Shares information and confirmation of data. For SAII: Summarizes and explains information to others. May contribute to publications. For SAIII: Ability to translate information to general terms and help others understand impact of the information; assists PI in preparation of publications, including funding proposals, manuscripts and other research-oriented documentation.</p></li></ul></div></div>
<br><div><div><p>The minimum qualifications for each title and grade are as follows:
</p><div><ul><li>Staff Associate I: Bachelor's degree in computer science or related field and 4 years experience preferred.
</li></ul><ul><li>Staff Associate II: Bachelor's degree in computer science or related field and 4 years recommended.
</li></ul><ul><li>Staff Associate III: Bachelor's degree in computer science or related field and 4-6 years experience.
</li></ul></div><p>Candidates with a master&rsquo;s in Computer Science, or a related field, are preferred. Candidates should have a publication record in Computational Systems Biology and Informatics.
</p><p>The school is especially interested in qualified candidates who will contribute, through their research, teaching, and/or service, to the diversity and excellence of the academic community.
</p></div><div>instructions</div>
<div>
<p>Applications should be submitted electronically and include the following: an academic curriculum vitae and a brief cover letter addressed to Prof. Dimitris Anastassiou. The position will remain open until filled.
</p><p><b>Hiring Range: </b>Staff Associate I: $66,300-97,381; Staff Associate II: $66,744-104,737; Staff Associate III: $67,473-124,124</p></div></div>
<br><div><p>Columbia University is an Equal Opportunity Employer / Disability / Veteran
</p><p><b>Pay Transparency Disclosure
</b></p><p>The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University&rsquo;s good faith and reasonable estimate of the range of possible compensation at the time of posting.</p></div>

Open Rank: Staff Associate I, Staff Associate II, and/or Staff Associate III

Novartis

<div><div><h3 class="jobSectionHeader"><b>Summary
</b></h3><div>Location: Cambridge LI#Onsite
<br>
<br>
The Oncology Pathology and Biomarkers group within Oncology Translational Research at Novartis Biomedical Research is seeking an accomplished Imaging Scientist to join the Image Analysis team in Cambridge.<br>
This role is for a scientific and technical leader with expertise in digital pathology, computational image analysis, AI/ML, and tissue-based oncology biomarkers. The successful candidate will develop and support scalable workflows for whole-slide pathology and multiplexed tissue imaging data.<br>
The position will expand OPB&rsquo;s AI-enabled image analysis capabilities and deliver scalable solutions for digital pathology and translational biomarker assessment across oncology programs.<br>
The scientist will support spatial analysis of tumor samples, help establish pipelines for RareCyte Orion high-plex imaging data, and strengthen harmonized HALO AI workflows across Cambridge and Basel.</div>
</div><div><h3 class="jobSectionHeader"><b>About the Role
</b></h3><div><h1 class="jobSectionHeader"><b>Key Responsibilities</b></h1><p>
Digital Pathology and Imaging Strategy</p><ul><li>
Develop and deploy scalable workflows for pathology whole-slide image acquisition, processing, analysis, and interpretation</li><li>
Apply AI/ML and quantitative image analysis to address biological, translational, and biomarker questions in human and preclinical samples</li><li>
Provide expertise in digital pathology, spatial analytics, and AI-enabled biomarker quantification across oncology programs</li><li>
Evaluate emerging computational imaging approaches that strengthen OPB biomarker capabilities and decisional data delivery</li></ul><p>
HALO AI Support and Cross-Site Harmonization</p><ul><li>
Serve as a subject matter expert for HALO and HALO AI workflows and drive harmonization across Cambridge and Basel</li><li>
Build robust, reproducible, and well-documented analytical processes that improve operational resilience and cross-site consistency</li><li>
Improve image data organization, sharing, and best practices to support collaboration with Oncology Data Science, Data42, and enterprise AI initiatives</li></ul><p>
AI/ML-Enabled Image Analysis</p><ul><li>
Build, optimize, and apply AI/ML models and reproducible workflows for whole-slide, multiplexed, and high-plex tissue imaging</li><li>
Use tools such as HALO and HALO AI for segmentation, classification, feature extraction, spatial analysis, and biomarker scoring</li><li>
Translate image-derived outputs into clear biological insights that inform project decisions</li></ul><p>
High-Plex Imaging and RareCyte Orion Analysis</p><ul><li>
Develop and implement pipelines to process, analyze, visualize, and interpret RareCyte Orion and other high-plex imaging data</li><li>
Partner with OPB scientists to define fit-for-purpose analytical approaches for multiplexed tissue imaging studies</li><li>
Integrate high-plex imaging outputs with broader biomarker and translational datasets</li><li>
Establish quality control, documentation, and reporting standards that support innovative use of multiplexed imaging in oncology</li></ul><p>
Cross-Functional Collaboration and Impact</p><ul><li>
Partner with scientists, pathologists, physician-scientists, computational biologists, data scientists, and project teams to design, analyze, and interpret tissue-based studies</li><li>
Engage across Oncology Translational Research and broader Novartis Biomedical Research to identify stakeholder needs, address workflow gaps, and implement practical solutions</li><li>
Communicate image analysis strategies, recommendations, and findings clearly to multidisciplinary teams while contributing to a collaborative culture of scientific excellence and innovation</li></ul><h1 class="jobSectionHeader"><b>
Essential requirements</b></h1><ul><li>
This is a dual posting. The final level of the offered role will be determined by the hiring team based on the skills, experience, and capabilities required to perform the role at the offered level.</li></ul><ul><li>
PhD or MS in biology, bioinformatics, biomedical engineering, computational biology, data science, pathology, or a related field</li><li>
Minimum 5 years of industry experience</li><li>
Significant experience in digital pathology, computational image analysis, imaging data science, translational oncology, or tissue-based biomarker research</li><li>
Expertise with image analysis tools such as HALO and experience developing, implementing, and applying AI/ML models to tissue images</li><li>
Demonstrated success applying advanced imaging solutions to pathology and translational research workflows, including high-resolution whole-slide and gigapixel image datasets</li><li>
Strong understanding of tissue-based biomarker development, oncology biology, and translational research</li><li>
Strong organizational, communication, and problem-solving skills, with the ability to engage stakeholders, identify process gaps, and drive next steps</li><li>
Ability to work effectively in multidisciplinary, matrixed teams and contribute in a collaborative, innovative, and self-directed way</li></ul><h1 class="jobSectionHeader"><b>
Desirable Qualifications</b></h1><ul><li>
Background in cancer biology, immuno-oncology, radioligand therapy, spatial biology, or tumor microenvironment biology</li><li>
Experience supporting oncology drug discovery or early clinical development with image-based biomarker strategies and spatial scoring approaches for pharmacodynamic, indication, isotope, or patient selection decisions</li><li>
Familiarity with RareCyte Orion or other multiplexed/high-plex tissue imaging platforms, including machine learning and computational methods for tissue image analysis</li><li>
Proficiency in Python or R</li><li>
Experience harmonizing digital pathology workflows across sites, teams, or software environments, with familiarity in image data centralization, digital pathology infrastructure, FAIR principles, or enterprise data platforms</li><li>
Experience collaborating with oncology data science, informatics, translational medicine, or enterprise AI teams</li><li>
Scientific visibility through publications, presentations, or collaborations in digital pathology, oncology biomarkers, image analysis, or spatial biology</li></ul><p></p><p><b>
Novartis Compensation and Benefit Summary:</b></p><p>
The salary for this position is expected to range between $138,600.00 - $257,400.00 USD Annual per year.</p><p></p><p>
The final salary offered is determined based on factors like, but not limited to, relevant skills and</p><p>
experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published</p><p>
salary range based on company and market factors.</p><p></p><p>
Your compensation will include a performance-based cash incentive and, depending on the level of the</p><p>
role, eligibility to be considered for annual equity awards.</p><p></p><p>
US-based eligible employees will receive a comprehensive benefits package that includes health, life and</p><p>
disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In</p><p>
addition, employees are eligible for a generous time off package including vacation, personal days,</p><p>
holidays and other leaves.</p></div>
</div><div><div><p><b>Why Novartis:</b> Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture</p><p><b>
Benefits and Rewards:</b> Learn about all the ways we&rsquo;ll help you thrive personally and professionally.<br>
Read our handbook (PDF 30 MB)</p></div>
</div><div><p><b>EEO Statement:</b></p><p>
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.</p><p><b>
Accessibility &amp; Reasonable Accommodations</b></p><p>
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.</p></div></div>
<br><div><div>Division
<div>Biomedical Research
</div></div><div>Business Unit
<div>Research
</div></div><div>Location
<div>USA
</div></div><div>State
<div>Massachusetts
</div></div><div>Site
<div>Cambridge (USA)
</div></div><div>Company / Legal Entity
<div>U175 (FCRS = US175) Novartis Institutes for BioMedical Research, Inc.
</div></div><div>Functional Area
<div>Research &amp; Development
</div></div><div>Job Type
<div>Full time
</div></div><div>Employment Type
<div>Regular
</div></div><div>Shift Work
<div>No</div></div></div><div></div>

Senior Principal Scientist / Assoc Director, Oncology Translational Research

Zewail City of Science and Technology

<div><div><h3 class="jobSectionHeader"><b>Zewail City of Science, Technology &amp; Innovation</b></h3>
</div><div><div><div>Type:</div>
<div>Part Time</div>
</div><div><div>Published:</div>
<div>2026-06-10</div>
</div><div><div>Deadline:</div>
<div>2026-07-06</div>
</div><div><div>Language:</div>
<div>English</div>
</div></div><div><h3 class="jobSectionHeader"><b>Description:</b></h3>
<p>The University of Science and Technology at Zewail City of Science, Technology and Innovation is seeking Adjunct Faculty at the School of Computational Sciences and Artificial Intelligence.</p>
<h3 class="jobSectionHeader"><b>Qualifications and Courses:</b></h3>
<p>Applicants should hold a Ph.D. in a relevant area to the following specializations from a recognized highly reputable University:</p>
<ul><li>Data Science and Artificial Intelligence</li>
<li>Software Engineering</li>
<li>Cyber Security</li>
</ul><p>Applicants should possess strong academic credentials and a demonstrated commitment to teaching excellence, student engagement, and high-quality instruction.</p>
<p>Applicants should show their proficiency to teach one or more of the following courses:</p>
<ul><li>Software Project Management, Embedded Systems, Object-Oriented Analysis and Design (using Java), Software Testing, Validation, and Quality Assurance (using Java), Design and Geometric Modeling for Visualization and Communication, Visual Effects Production, Prototyping Algorithmic Experiences, Human Information Processing and Artificial Intelligence, AI Based Products and Services, User-Focused Sensing Systems.</li>
<li>Neural Networks and Deep Learning, Machine Learning, NLP, Computer Vision, Speech Recognition, Deep Reinforcement Learning, Generative AI, MLOPs, Explainable AI, LLM, Knowledge Representation &amp; Reasoning, Cloud Computing,</li>
<li>Data Mining, Information Retrieval, Data Governance, Data Integration &amp; Visualization, Big Data Analytics.</li>
<li>Cyber Security, Secure Programming, System Administration for Security, Applied Cryptography, Ethical Hacking and Penetration Testing, Digital Forensics, Malware Analysis, Network Security, Cloud Security, IOT Security, Governance, Risk and Compliance (GRC).</li>
</ul><h3 class="jobSectionHeader"><b>Program/School:</b></h3>
<p>School of Computational Sciences and Artificial Intelligence</p></div></div><p></p>

Adjunct Faculty - School of Computational Sciences and Artificial Intelligence

Eli Lilly

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
<br><br>
<b>Locations:</b> San Diego, CA; San Francisco, CA; Boston, MA; Louisville, CO; Indianapolis, IN
<br><br>
Lilly Small Molecule Discovery is purpose-built to create molecules that make life better for people. Discovery Technology and Platforms (DTP) accelerates molecule discovery by building optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and investing in novel capabilities.
<br>Data Foundry is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Automation & Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities—serving both human scientists and autonomous AI agents.
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Position Summary
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We are seeking an Engineer - MLOps & Scientific Platforms - Data Foundry to operationalize Data Foundry’s scientific tools and analytical methods into actionable-prototypes. You will build the ML deployment pipelines, model serving infrastructure, API layers, and observability guardrails that make our scientific discovery methods and tools reliable, scalable, and consumable, both by discovery scientists and by the Frontier AI group’s autonomous agents.
<br>This role sits at the interface between Methods4Insight (which develops analytical methods) and Architecture4Insight(which provides the agile data infrastructure). Your job is to ensure every scientific tool Data Foundry produces are analytics-ready, well-monitored, and exposed through APIs with the response-time guarantees and error handling that both human users and AI agents require.
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Responsibilities
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MLOps & Model Lifecycle Management
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<ul>
<li>Build and maintain end-to-end ML deployment pipelines: experiment tracking, model versioning (MLflow, Weights & Biases), containerized model serving, and automated retraining triggers.</li>
<li>Develop model registry infrastructure and feature engineering pipelines that enable computational scientists to access models.</li>
<li>Implement monitoring and alerting for data pipelines, APIs, ML models, and agentic systems (LLMOps) to ensure system reliability and performance at scale.</li>
<li>Build dashboards and metrics tracking for pipeline execution, API latency, token usage, model prediction quality, and system health</li>
<li>Establish structured logging and tracing infrastructure for debugging and performance optimization across scientific data systems</li>
</ul>
Scientific Tool Agile Deployment
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<ul>
<li>Deploy predictive and analytical methods from Methods4Insight (e.g. cheminformatics, structural biology, bioinformatics, reaction informatics) with versioning, structured error handling, and response-time guarantees that enable insight generation in agile manner. Productionize when and where needed in partnerships with Tech@Lilly.</li>
<li>Build serving infrastructure supporting both synchronous (interactive scientist queries) and asynchronous (batch and agent-invoked) workloads in partnership with Tech@Lilly and Frontier AI.</li>
<li>Define and implement API contracts, documentation standards, and testing frameworks that ensure scientific tools are analysis ready, robust and consumable by external teams including Frontier AI.</li>
</ul>
Platform Engineering & Integration
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<ul>
<li>Build and operate cloud-native model serving infrastructure (AWS, Azure, or GCP) using containers, Kubernetes, and infrastructure-as-code.</li>
<li>Develop CI/CD pipelines for ML models: automated validation, A/B testing, canary deployments, and rollback procedures.</li>
<li>Integrate model serving with Data Foundry’s data pipelines, ensuring models have access to properly formatted, versioned training and inference data.</li>
</ul>
Frontier AI Interface & Collaboration
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<ul>
<li>Partner with the Frontier AI team and Tech@Lilly to ensure Data Foundry’s scientific tools are exposed via well-defined interfaces (REST APIs, MCP-compatible endpoints) that agents can invoke programmatically.</li>
<li>Collaborate on API performance requirements: latency targets, throughput guarantees, and graceful degradation under load.</li>
<li>Work with Methods4Insight scientists to ensure deployed models include appropriate uncertainty quantification and confidence metrics.</li>
</ul>
Basic Requirements
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<ul>
<li>B.S. or M.S. in Computer Science, Data Science, Machine Learning, Bioinformatics, Computational Biology, or related field.</li>
<li>3+ years of experience in MLOps, ML engineering, or scientific platform development</li>
<li>Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.</li>
</ul>
Preferred Qualifications
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<ul>
<li>Pharmaceutical or biotech research industry experience.</li>
<li>Strong Python skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and ML lifecycle tools (MLflow, W&B, Kubeflow, or similar).</li>
<li>Proven track record building and deploying production model serving infrastructure — containerized endpoints, RESTful/gRPC APIs, and operational monitoring</li>
<li>Working knowledge of cloud platforms (AWS, Azure, or GCP), Kubernetes, and CI/CD automation.</li>
<li>Strong communication skills with ability to collaborate across computational scientists, software engineers, and partner teams.</li>
<li>Experience operationalizing scientific or computational models (cheminformatics, bioinformatics, structural biology, QSAR, molecular simulations, PK/PD, systems biology, or ODE-based models).</li>
<li>Hands-on experience with model monitoring, drift detection, and automated retraining systems.</li>
<li>Familiarity with API gateway patterns, event-driven architectures, and service mesh technologies.</li>
<li>Experience with feature stores, data versioning (DVC), or experiment tracking at scale.</li>
<li>Exposure to AI agent frameworks (MCP, LangChain) or building APIs that AI systems invoke programmatically.</li>
<li>Experience with C, C++, CUDA, or GPU-accelerated computing for optimizing model training/inference performance; familiarity with containerizing HPC workloads (Singularity/Apptainer).</li>
</ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
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Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
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Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
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Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is
<br>$66,000 - $165,000
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Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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#WeAreLilly

Engineer - MLOps & Scientific Platforms - Data Foundry

Mindrift

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 <em>
  <strong>
   Please submit your CV in English and indicate your level of English proficiency.
   <br/>
   <br/>
  </strong>
 </em>
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 <strong>
  Participation is project-based, not permanent employment.
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 </strong>
 <strong>
  What This Opportunity Involves
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 While each project involves unique tasks, contributors may:
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   Design original computational physics problems that simulate real physics research workflows;
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   Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);
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   Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);
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   Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
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   Base problems on real research challenges or practical applications from physics practice;
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   Verify solutions using Python with standard physics simulation libraries;
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   Document problem statements clearly and provide verified correct answers
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  </li>
 </ul>
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  What We Look For
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 </strong>
 This opportunity is a good fit for quantum researchers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
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 <ul>
  <li>
   Degree in Physics (Theoretical, Experimental, or Computational) or related fields;
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   Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
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   2+ years of professional experience: applied, research, or teaching experience is applicable;
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   Experience with numerical simulation methods;
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   Ability to design problems that mirror real physics research workflows;
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   Creative thinking in problem design across diverse physics areas;
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   Familiarity with physics modeling and approximation techniques;
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  <li>
   Strong written English (C1+)
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  </li>
 </ul>
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  How It Works
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 </strong>
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
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 <strong>
  Project time expectations
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 </strong>
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
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  Compensation
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  <br/>
 </strong>
 On this project, contributors can earn up to
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  $76 per hour equivalent
 </strong>
 , depending on their level and pace of contribution.
 <br/>
 <br/>
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
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Quantum Research Scientist with Python - Freelance AI Trainer

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