OFFICE COORDINATOR College of Arts & Sciences Biology Boston UniversityOFFICE COORDINATOR College of Arts & Sciences BiologyBOSTON, MAEstablished in 1873, Arts and Sciences is Boston University''s largest and most academically diverse unit, encompassing over 8,400 undergraduates, 2,000 graduate students, 800 faculty members, and 300 staff across 50 departments, programs, centers, and institutes. Our faculty are award-winning researchers, innovative teachers, and dedicated mentors committed to exploring the complexities of our present and past, uncovering new perspectives, and crafting creative solutions to real-world problems.
Senior Manager, Data Science & Operation Analytics XometrySenior Manager, Data Science & Operation AnalyticsWaltham, MAYour team will generate insights, develop statistical frameworks, build scalable analytical data assets, and establish experimentation capabilities that improve marketplace performance, operational efficiency, customer experience, and profitability. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
NewProject Manager – Data Science & AI Engineering MassMutualProject Manager – Data Science & AI EngineeringBoston, MassachusettsAs a Project Manager in Data Science & AI Engineering , you’ll lead the delivery of AI and data-driven solutions by managing scope, timelines, and stakeholder expectations across multiple, concurrent projects. Our Data Science & AI Engineering team is driving innovation through machine learning and AI-powered solutions – including generative AI and emerging agentic AI approaches – that transform how we deliver value across the enterprise.
Expert Senior Manager Data Sciences Software and Data Services Coro Bain & Co IncExpert Senior Manager Data Sciences Software and Data Services CoroBoston, MA$164,500–$219,000 / yearThe estimated annualized compensation for this role is as follows: In California, Washington state, Washington DC, New York, Illinois, Georgia, Texas and Massachusetts States, the good-faith, reasonable annualized full-time salary range for this role is between $164,500 - $219,000; placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level. Bain's B2B Commercial Excellence practice works with clients to develop a clear go-to-market (GTM) strategy: building an in-depth understanding of market opportunity, designing effective sales coverage and capacity models to attack that opportunity, and creating an industrialized sales execution capability to ensure commercial success.
Principal Scientist II/Senior Principal Scientist, PK Sciences Clinical Pharmacology Artificial Intelligence (AI) Lead (dual level posting) Novartis AGPrincipal Scientist II/Senior Principal Scientist, PK Sciences Clinical Pharmacology Artificial Intelligence (AI) Lead (dual level posting)Cambridge, MA$119,700–$222,300 / yearWorks in close collaboration with clinicians and clinical development colleagues to integrate PKS insights into study design, data interpretation, and project decision‑makingModels the use of Artificial intelligence (AI) / Machine Learning (ML) approaches to enable model guided molecular design, preclinical and clinical data automation, and authoring regulatory documents. Key responsibilities:Brings strong AI and digital fluency, using enterprise tools to further strategic, scientific and operational leadership in clinical pharmacologyIdentifies, develops and implements high-value use cases where AI can materially improve clinical pharmacology planning, analyses and decision quality.
Principal Scientist I or II, PK Sciences Therapeutic Areas (Multiple Listings) Novartis AGPrincipal Scientist I or II, PK Sciences Therapeutic Areas (Multiple Listings)Cambridge, MA$108,500–$201,500 / yearA minimum of 0-2 years of experience in drug discovery and/or development in a relevant environment (academia, CRO, biotech or Pharma).• 2+ years of experience preferably in a lead role overseeing ADME/DMPK project strategy, either in discovery or clinical development to be considered for Principal Scientist II• Extensive and in-depth knowledge of pharmacokinetics including, drug metabolism and PK/PD evaluation, experience in working in project teams (preferably global) as well as sound awareness of recent developments in drug development and regulatory sciences.• • Works in close collaboration with clinicians and clinical development colleagues to integrate PKS insights into study design, data interpretation, and project decision‑making• Use of Artificial intelligence (AI) / Machine Learning (ML) approaches to enable model guided molecular design, preclinical and clinical data automation, authoring regulatory documents, and the use of predictive modelsThis role reports to Therapeutic Area group in PK Sciences within Translational Medicine (TM) in Biomedical Research.
Scientist, Analytical Sciences and Technology ModernaTXScientist, Analytical Sciences and TechnologyNorwood, MassachusettsWe are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S. If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities. The Candidate will serve as a key technical resource across the analytical network, collaborating with Quality Control, Quality Assurance, Regulatory Affairs, Manufacturing Sciences, and Contract Manufacturing Organizations (CMOs) to ensure robust analytical performance, compliance, and inspection readiness.
Senior/Principal Scientist, MPN Biology, Translational Sciences PharmaEssentia CorpSenior/Principal Scientist, MPN Biology, Translational SciencesBEDFORD, MASummary of Key Responsibilities: Study Design and Execution: Lead the design, planning, and execution of POC and translational studies in healthy and MPN mouse models and primary human cellular and tissue systems to generate comprehensive pharmacology and biomarker data packages including MOA and differentiation from competitor programs. Founded in 2003 by a team of Taiwanese American executives and renowned scientists from U.S. biotechnology and pharmaceutical companies, today we are listed on the Taipei Exchange (TPEx: 6446) and are expanding our global presence with operations in the U.S., Japan, China and Korea, along with a world-class biologics production facility in Taichung.
Scientist - RNA Sciences & Preclinical Manufacturing Bristol Myers SquibbScientist - RNA Sciences & Preclinical ManufacturingCambridge, MA$128,380–$155,571 / yearPosition Responsibilities: In the role as a Scientist within the RNA Sciences and Preclinical Manufacturing team, the ideal candidate will: Develop and execute bench-scale manufacturing processes for preclinical-grade DNA and mRNA materials across diverse construct formats, using practical troubleshooting and targeted adjustments to meet quality, yield, and timeline needs. To achieve this vision, BMS is developing a best-in-class RNA platform that integrates established and emerging technologies with advanced delivery mechanisms to enhance the expression and durability of BMS's novel RNA therapeutics and broaden delivery across cell types and tissues.
Innovation Postdoctoral Fellow, Data Science & AI Vision Foundation Models for Cellular Imaging in AI Drug Discovery Novartis AGInnovation Postdoctoral Fellow, Data Science & AI Vision Foundation Models for Cellular Imaging in AI Drug DiscoveryCambridge, MAThe program is intended for scientists immediately following their PhD training (PhD conferred in 2026 only).Demonstrated record of scientific achievement (publications, presentations, patents, or equivalent)Strong commitment to learning, innovation, and professional developmentAbility to formulate and drive independent research questionsProficiency in Python and modern deep learning frameworks (e.g., PyTorch, TensorFlow, or JAX), with hands-on experience training models on GPUs. Experience with distributed training on HPC clusters, reproducible ML pipelines on cloud infrastructure, and model-tracking tools such as MLflowPublications at top ML venues (NeurIPS, ICML, ICLR, CVPR) or biomedical ML venues (MICCAI, etc.)How to Apply:Please submit your CV and cover letter by July 25, 2026.In your cover letter, please describe your research interests, career aspirations, and how participation in the Novartis Biomedical Research Postdoctoral Fellowship Program will support your long-term development.
Data Science & AI Innovation Postdoctoral Fellow Novartis AGData Science & AI Innovation Postdoctoral FellowCambridge, MAThe program is intended for scientists immediately following their PhD training (PhD conferred in 2026 only).Demonstrated record of scientific achievement (publications, presentations, patents, or equivalent)Strong commitment to learning, innovation, and professional developmentStrong quantitative background in data science, statistics, machine learning, bioinformatics, computational biology, computer science, biomedical engineering, or a related field. The Novartis Biomedical Research Postdoctoral Fellowship Program is designed to develop the next generation of scientific leaders and power the future of medicine through rigorous research, and immersive learning experiences, including the implementation of AI tools in biomedical research.
Senior Machine Learning Engineer I, Physical Sciences Lila SciencesSenior Machine Learning Engineer I, Physical SciencesCambridge, MassachusettsFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. This Machine Learning Engineer for the Physical Sciences team focuses on building and operating end-to-end, scalable machine learning workflows that solve a diversity scientific use cases in materials, chemistry and physical sciences.
Staff Forward Deployed Engineer, Physical Sciences (Level Flexible) Lila SciencesStaff Forward Deployed Engineer, Physical Sciences (Level Flexible)Cambridge, MassachusettsFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
Director, Oncology Data Science Merck & Co IncDirector, Oncology Data ScienceBoston, MA$194,100–$305,600 / yearLeverage advanced AI/ML approaches to integrate multi-modal data including RNAseq, WES, ctDNA, digital pathology, proteomics, immune activation assays, and liquid biopsies to discover biomarkers and molecularly defined groups of patients as well as molecular mechanisms of modulation of therapeutic response reflected in longitudinal analytes. The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting a Director of Oncology Biomarker Discovery to join an oncology data science team dedicated to advancing our company's vast and expanding oncology pipeline, with a focus on multimodal biomarker discovery, validation, and implementation.
AIML Software Engineer, AI for Science GSK plcAIML Software Engineer, AI for ScienceCambridge, MA$136,125–$226,875 / yearAt GSK, we are actively working on building a future in which state-of-the-art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. We are looking for professionals with these required skills to achieve our goals: A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional software engineer.
Sr Director , Data Science Merck & Co IncSr Director , Data ScienceCambridge, MARemote$210,400–$331,100 / yearWork in close collaboration with QP2 Oncology team, preclinical DMPK and modeling teams, biologists, clinicians, and other line functions to utilize mechanistic/ QSP modeling for dose selection, combination strategies and clinical trial design. QP2 Oncology is part of the Global Clinical Development organization and has oversight over drug development aspects related to clinical pharmacology, mechanistic PK-PD modeling and pharmacometrics of oncology drugs from post-preclinical candidate (PCC) selection through registration.
Associate Director, Data Science Merck & Co IncAssociate Director, Data ScienceBoston, MA$159,600–$251,200 / yearRequired Skills: Cancer Biology, Computational Biology, Data Analysis, Data Mining, Data Science, Genomic Data Analysis, Immuno-Oncology, MATLAB, Multimodal Analysis, Python (Programming Language), R Programming, Statistical Analysis, Statistical Learning. Analyze, summarize, and visualize the findings from large multi-modal clinico-genomic datasets which include bulk RNAseq, WES/WGS, imaging, epigenetic profiling, single-cell RNAseq, and proteomics data from oncology clinical trials and real-world datasets.
Director, Clinical Science WhoopDirector, Clinical ScienceBoston, MassachusettsAt WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. You will build and mentor a high-performing team of Clinical Scientists, strengthen WHOOP’s clinical science capabilities, and ensure our evidence generation strategy meets the expectations of regulators, clinicians, members, and the business.
Lead Research Scientist (Decision Sciences IQ Team) Publicis Groupe SALead Research Scientist (Decision Sciences IQ Team)Boston, MA$93,500–$173,700 / yearD. in Computer Science, Statistics, Linguistics, Electrical Engineering, Mathematics, Economics, Physics, Operations Research, or a related scientific discipline Research experience and coursework in Machine Learning 1+ years of experience managing research and development projects 2+ years of relevant programming experience through academic research, internships, or industry experience Strong programming skills in Python and experience working with research or production code Experience with large data sets Strong understanding of modeling and statistical techniques Desire to work in a highly collaborative environment Strong communication & interpersonal skills with an ability to communicate ideas, and complex solutions effectively Additional, But Not Required Skills Experience with distributed and cloud computing platforms, such as Hadoop, Spark, AWS, Databricks, or related technologies Experience with SQL, Python Familiarity using LLMs and agentic frameworks. Responsibilities Manage projects end-to-end from early-stage research through development, in consultation with stakeholders Develop an understanding of DSIQ's modeling platform and Epsilon's proprietary datasets Use your data science and machine learning expertise to research and recommend the best approaches to solving our technology and business problems Design, implement, and validate productized analytic pipelines at scale using a variety of tools (Databricks, Spark, Python, Mllib, Keras, TensorFlow, Git, Jira, Confluence, etc.) Work with our Engineering teams to integrate your solutions into Epsilon's PeopleCloud SaaS solutions Participate fully in our collaborative culture by sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of the team Qualifications Qualifications A Ph.
Senior Scientist, Data Science (Ai, Operations Research & Optimization)- Hybrid XPO Inc.Senior Scientist, Data Science (Ai, Operations Research & Optimization)- HybridBoston, MA$106,383–$132,978 / year2 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization. What you'll do on a typical day: Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company.