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NovartisCambridge, Massachusetts, United States · Hybrid
$114k–$234k
Band Level 4 Job Description Summary #LI-Hybrid Location: Cambridge, Massachusetts, United States This role is based in Cambridge, MA. Novartis is unable to offer relocation support for this role. Please only apply if th…
Skills: Artificial Intelligence, Biostatistics, Data Science, Deep Learning, Machine Learning
BiogenCambridge, Massachusetts, United States · Hybrid
About the Role: This role serves as a key member of the Medical Excellence and Operations team, supporting both Medical Excellence initiatives and Therapeutic Area Strategy & Operations activities that enable Field Medic…
Skills: Project Management, Portfolio Management, Stakeholder Engagement, Budget Management, Financial Forecasting
NovartisCambridge, Massachusetts, United States · Hybrid
$126k–$234k
Job Description Summary #LI-Hybrid Location: Cambridge, Massachusetts, United States This role is based in Cambridge, MA. Novartis is unable to offer relocation support for this role. Please only apply if this location i…
Skills: Artificial Intelligence, Biostatistics, Data Science, Deep Learning, Machine Learning
Flagship PioneeringCambridge, Massachusetts, United States · On-site
$188k–$258k
ABOUT PIONEERING INTELLIGENCE Pioneering Intelligence builds on Flagship Pioneering’s legacy of founding cutting-edge science and computational ventures, harnessing recent advances in AI, machine learning, and data to ac…
Skills: Distributed Systems, Workflow Orchestration, Event-Driven Architecture, AWS, Infrastructure-as-Code
AEGCambridge, Massachusetts, United States · On-site
$18/hr–$25/hr
AEG Worldwide is the world’s leading sports and live entertainment company with operations in the following business segments: AEG Presents, which is one of the largest live music companies in the world dedicated to live…
Skills: Security Operations, Crowd Control, Incident Management, Emergency Response, Staff Supervision
Alnylam PharmaceuticalsCambridge, Massachusetts, United States · Hybrid
$94k–$127k
Overview We are seeking a highly skilled and experienced Executive Assistant to provide consistent, high-level administrative support to senior leaders within the U.S. TTR Commercial Team. This role requires a proactive,…
Skills: Calendar Management, Travel Coordination, Microsoft Office Suite, Project Management, Executive Support
AEGCambridge, Massachusetts, United States · On-site
$18/hr–$25/hr
AEG Worldwide is the world’s leading sports and live entertainment company with operations in the following business segments: AEG Presents, which is one of the largest live music companies in the world dedicated to live…
Skills: Security Patrolling, Incident Management, Crowd Control, Emergency Response, Fire Safety
Prime Medicine, Inc.Cambridge, Massachusetts, United States · Hybrid
$77k–$94k
Company Overview: Prime Medicine is a leading biotechnology company dedicated to creating and delivering the next generation of gene editing therapies to patients. The Company is leveraging its proprietary Prime Editing …
Skills: Procurement, Accounts Payable, Vendor Management, Financial Audit Support, Expense Management
Lila SciencesCambridge, Massachusetts, United States · On-site
$108k–$150k
Your Impact at LILA As an epitaxial thin film scientist on the Materials Science team at Lila Sciences, you will serve as the lead for synthesis of high-quality epitaxial thin films, contributing to the discovery of nove…
Skills: Epitaxial Thin Film Synthesis, Sputtering, Pulsed-laser Deposition, Molecular Beam Epitaxy, XRD Analysis
Lila SciencesCambridge, Massachusetts, United States · On-site
Your Impact at LILA Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our team partners with the diverse experimental groups to build digital tw…
Skills: Python, PyTorch, JAX, TensorFlow, Operator Learning
Lila SciencesCambridge, Massachusetts, United States · On-site
Your Impact at LILA Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our decision making efforts develop the algorithms that drive experimental…
Skills: Python, PyTorch, JAX, Bayesian Optimization, Large Language Models
Lila SciencesCambridge, Massachusetts, United States · On-site
Your Impact at LILA Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our team works on turning unstructured scientific knowledge (e.g., literat…
Skills: Python, Machine Learning, Natural Language Processing, Computer Vision, Data Extraction
Lila SciencesCambridge, Massachusetts, United States · On-site
Your Impact at LILA We are seeking an Intern to join our Chemistry team. This role will focus on assisting in the design and development of advanced microfluidic platforms for the controlled synthesis and characterizatio…
Skills: LNP Formulation, Microfluidics, DLS, Ribogreen Assay, TNS Assay
Lila SciencesCambridge, Massachusetts, United States · On-site
Your Impact at LILA The Lab IT/OT Security Engineer Co-Op supports administration, troubleshooting, and continuous improvement of computing infrastructure inside Lila Sciences' laboratory environments. The role works at …
Skills: Windows Administration, Networking, ITSM, Asset Management, OT Security
Lila SciencesCambridge, Massachusetts, United States · On-site
Your Impact at LILA Lila Sciences is building the world's first scientific super intelligence platform. As AI agents and automated systems handle more of the research and operations workload, securing them has become a c…
Skills: AI Security, Prompt Injection Analysis, Threat Modeling, Python, Vulnerability Analysis
Akamai TechnologiesCambridge, Massachusetts, United States · Remote OK
$120k–$217k
Do you want to own the reliability of cloud load balancing infrastructure that serves thousands of customers at global scale? Are you a senior technical leader who can drive solutions across distributed teams while mento…
Skills: SRE, Linux Networking, L4/L7 Load Balancing, Kubernetes, Python
Lila SciencesSan Francisco, California, United States · On-site
$192k–$306k
Your Impact at LILA Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), Lila develops large-scale generative models and reasoning framew…
Skills: Technical Program Management, Cross-functional Coordination, AI/ML Program Management, Risk Management, Roadmap Development
UCBCambridge, Massachusetts, United States · Remote Solely
$182k–$238k
Make your mark for patients We are looking for The Mito National Lead - Disease Strategy & Field Engagement who is a strategic, collaborative, and clinically strong professional to join us in our Mito Field team within t…
Skills: Disease Strategy, Field Engagement, Clinical Acumen, Stakeholder Relationship Management, Insight Generation
Akamai TechnologiesCambridge, Massachusetts, United States · Hybrid
$50k–$90k
Do you relish the prospect of working with the most cutting-edge technology? Would supporting the biggest global network excite you? Join our Global Network Operations Command Center Our Network Operations Command Center…
Skills: Linux/Unix System Administration, SQL, Scripting Languages, TCP/IP, WAN
Akamai TechnologiesCambridge, Massachusetts, United States · Remote OK
$76k–$136k
Do you enjoy collaborating with teams to solve complex challenges? Do you have a passion for automation and building systems that scale? Join our highly skilled Site Reliability Engineering team! Our team designs, develo…
Skills: Terraform, Infrastructure as Code, CI/CD, Configuration Management, Linux
Novartis
Cambridge, Massachusetts, United States • Hybrid
Band
Level 4
Job Description Summary
#LI-Hybrid
Job Description
Key Responsibilities
Lead the analysis and integration of multi-modal omics datasets, including spatial transcriptomics, proteomics, high-plex imaging, and sequencing-based platforms (e.g., RNA-seq, scRNA-seq, WES, WGS)
Develop and apply advanced statistical, machine learning, and AI-driven methods to extract actionable biological insights from complex datasets
Partner with cross-functional teams to design and execute studies supporting target identification, validation, and translational research
Build and contribute to scalable, reproducible data science workflows and computational pipelines
Ensure high standards of data quality, reproducibility, and scientific rigor in all analyses
Evaluate and implement emerging technologies, including AI-assisted coding platforms and agentic tools, to enhance team effectiveness and innovation
Communicate scientific findings clearly to both technical and non-technical stakeholders
Contribute to knowledge sharing, best practices, and continuous improvement within the computational biology and data science community
Essential Requirements
PhD (or equivalent experience) in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative discipline
Demonstrated expertise in the analysis of complex omics datasets and at least one of the following: spatial transcriptomics, proteomics, or digital pathology
Strong programming skills in R and/or Python
Experience working with high-performance computing (HPC) environments and workflow management systems
Deep understanding of statistical modeling, machine learning, and data integration methodologies
Familiarity with AI-assisted coding tools and modern data science productivity platforms
Strong collaboration and communication skills, with the ability to work effectively in multidisciplinary teams
The salary for this position is expected to range between:
Expert II: [$114,100 – $211,900/year]
Senior Expert I: [$126,000 – $234,000/year]
The final salary and level offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.
US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
EEO Statement:
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, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
Accessibility and reasonable accommodations
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 in order to perform the essential functions of a position, please send an e-mail to [email protected] 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.
https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings
Salary Range
$126,000.00 - $234,000.00
Skills Desired
Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis